Autor: Osane Uriarte

Novel Design of Magnetorheological Sandwich-Structures for Attenuation of Vibrations

Engineering for the Information Society and Sustainable Development

Dra. María Jesús Elejabarrieta and Dr. Fernando Cortés Martínez

The candidate will do a Ph.D within the Applied Mechanics group of University of Deusto, Spain. The line of research will be Advanced Materials

Requirements: • Master’s degree in Industrial Engineering, Materials Engineering or Physics. • Proffesional English level. • Knowledge of numerical and empirical techniques. • Deep understanding of Electromagnetism. • Communication skills and ability to work in a team.

• Information Sciences and Engineering (ENG)
• Physics (PHY)

The reduction of the amplitude of structural vibrations is a challenge to improve several aspects of products, such as security, lifecycle, comfort or acoustic pollution. Amongst the methodologies that target control of structural vibration, passive techniques with viscoelastic materials are relatively easy to implement, and have a low cost. Within these methodologies, sandwich structures stand out. They are composed of metallic skins and a thin core. Because of these properties they are appropriate for applications with weight restrictions. However, when the source of the vibration is variable, these passive sandwich structures are not ideal to attenuate vibrations. Smart structures solve this issue. Magnetorheological materials are able to modify their rheological properties in response to external magnetic fields. Hence, they are ideal to manufacture smart sandwich-structures. The proposed Thesis targets: Designing magnetorheological sandwich-structures to achieve a maximum attenuation of vibrations in a high frequency band and under different working conditions. The challenge to be solved is the dynamic-electromagnetic interactions that appear as a product of an external magnetic field. Methodologies: Develop methods for experimental characterization of the magnetorheological and dynamic-electromagnetic interactions. Generate models to predict the behaviuor of the sandwich-structures. Implement numerical methods and control strategies.

L. Irazu and M.J. Elejabarrieta. Effect of magneto-elastic force on magneto-dynamic model of viscoelastic-magnetorheological sandwiches. Smart Materials and Structures; Vol. 28(7); 2019. ISSN 0964-1726. JCR (2018) 3.543 INSTRUMENTS & INSTRUMENTATION (9/61) Q1 L. Irazu and M.J. Elejabarrieta. Analysis and numerical modelling of eddy current damper for vibration problems. Journal of Sound and Vibration; Vol. 426; 75-89; 2018. ISSN 0022-460X. JCR 3.123 MECHANICS (21/134) Q1 L. Irazu and M.J. Elejabarrieta. A novel hybrid sandwich structure: viscoelastic and eddy current damping. Materials and Design. Vol. 140; 460-472; 2018. ISSN: 0264-1275. JCR 5.770 MATERIALS SCIENCE, MULTIDISCIPLINARY (50/293) Q1 Jon García Barruetabeña and Fernando Cortés Martínez. Finite elements analysis of the vibrational response of an adhesively bonded beam. Engineering Structures. 171. pp. 94. 2018. ISSN 0141-0296. JCR 3.084 ENGINEERING CIVIL (22/132) Q1 I. Agirre-Olabide, A. Lion, M.J. Elejabarrieta. A new three-dimensional magneto-viscoelastic model for isotropic magnetorheological elastomers. Smart Materials and Structures; Vol. 26, N 3, 2017. ISSN: 0964-1726. JCR 2.963 INSTRUMENTS & INSTRUMENTATION (9/61) Q1

AVISANI; Atenuación de vibraciones mediante sandwich inteligentes, con nucleoviscoelastico-magnetorreológico. Ministerio de Economía y Competitividad. Proyectos de I+D+I, Retos de las Sociedad (DPI2015-71198-R). De 2016 a 2018. IP: M.J. Elejabarrieta Olabarri SAVA; Sistemas de aislamiento vibratorio avanzados. Diputación Foral de Guipuzcoa. 13 Programa de la Red Guipuzcoana de Ciencia, Tecnología e Innovación. De 2017 a 2018. IP: M. J. Elejabarrieta Olabarri MAGNETOBUSH; Nueva generación de bushes inteligentes basados en elastómeros magnetorreológicos. Gobierno Vasco–Educación-Universidad Empresa.(UE2013-09). De 2013 a 2015. IP: M.J. Elejabarrieta Olabarri AVISUINT; Atenuacion de Vibraciones mediante Suspensiones Inteligentes: Fluidos y Elastómeros Magnetorreológicos. Ministerio de Economía y Competitividad. Investigación Fundamental (DPI2012-36366). De 2013 a 2015. IP: M.J. Elejabarrieta Olabarri MACOVI; Investigación sobre la aplicabilidad de materiales compuestos para vigas de encofrado horizontal. Gobierno Vasco–Educación-Universidad Empresa.( UE09+/04). 2010. IP: Fernando Cortés Martínez

The reasearch topic falls into structural-dynamics and electromagnetism. In its development, both, numerical and experimental methods will be combined.

The thesis will be co-directed by Dr. María Jesús Elejabarrieta Olabarri (who has supervised 6 doctoral thesis, two of which with international honors) and Dr. Fernando Cortés Martínez (who has supervised 3 doctoral thesis). They have co-authored 11 JCR publications.

The main research topic of this proposed thesis falls naturally within Advanced Materials (Applied Physics) and Industrial Engineering. Moreover, due to its many applications, this research can have a considerable impact in Transport, Manufacturing and Energy Efficiency. Furthermore, advanced analysis methods that are not field specific will be applied and extended whenever possible, allowing other sciences to profit from any advance in these experimental and numerical techniques.

This thesis proposal is directed by Horizonte 2020 and by the Plan Estatal de Investigación Científica y Técnica y de Inovación 2017-2020. It falls within Reto para Transporte Sostenible, Inteligente, Conectado e Integrado, since it promotes technological innovation in the transport sector thanks to the development of an emerging technology, smart-sandwhiches, which is applicable to the manufacturing of efficient vehicles and the use of sustainable resources respectful with the climate. This technology has the potential to reduce the impact on the environment by replacing asphalt coating, which currently cover metallic pieces. Moreover, it will reduce acoustic contamination by improving comfort vibro-acoustic of the available transport systems.

We are considering this option since Dr. M.J. Elejabarrieta will undertake a research stay with the group of Prof. D. Inman, Adaptive Intelligent Multifunctional Structures Lab of the Aerospace Engineering Department in Michigan University in 2020. This stay will start a collaboration and merge two research topics, adaptive meta-structures and magnetorheological materials and it will be financed by the Ministry of Education and Science, within the Program Salvador de Madariaga 2019 (PRX19/00611) It should be noted that Prof. Daniel J. Inman has published over 370 articles in indexed journals. He is one of the leading researchers in structural-vibrations. Furthermore, we do not discard international collaborations with two additional groups of international prestige (we have collaborated previously with them): -The group of Prof. Lion of the University of Bundeswehr in Munchen (Germany). Agirre-Olabide, A. Lion, M.J. Elejabarrieta, A new three-dimensional agnetoviscoelastic model for isotropic magnetorheological elastomers. Smart Mater. Struct. Vol. 26, N 3; (2017). ISSN: 1361-66. -The group of Prof. Pavel Kuzhir of Laboratoire De Physique De la Matiere Condensee of Universite De Nice Sophia-Antipolis. Agirre-Olabide, P. Kuzhir, M.J. Elejabarrieta, Linear magneto-viscoelastic model based on magnetic permeability components for anisotropic magnetorheological elastomers. Journal of Magnetism and Magnetic Materials 446 (2018) 155–161. ISSN:0304-8853.

We intend to request co-financing with the Spanish Program I+D+I Retos de la Sociedad (2019).

The proposed Thesis is not a Ph.D in Industrial Engineering.

The socio-economical impact of this research proposal is based on the potential of the magnetorheological technology, since during the last years, new industrial applications based on the use of smart materials are emerging. Therefore, technological transfer to enterprises is a strong possibility, specially in the transport sector and in the manufacturing of components. This will: -Improve the efficiency of transport due to their lighter weight than the current ones based on metal. -Reduce the environmental impact by replacing asphaltic , that currently cover metallic pieces and by reducing acoustic contamination

Although the use of magnetorheological materials to isolate vibrations has been a research topic for the last three decades, many questions remain unanswered. This doctorate targets: – The atenuation of vibrations of the magnetorheological sandwich by the contribution and interaction of three physical phenomena (Foucault currents, magnetorheological effect and magnetoelastic force) that manifest when an structure vibrates upon the application of a magnetic field. – The design of both, the magnetorheological sandwich and the magnetic field to be applied in order to magnify the desired the physical phenomena in order to satisfy the required working conditions. – The generation of a physical model of the magnetorheological sandwich according to the magnetic field, the frequency and the temperature, based on the constituitive models of the skins and the core. This way, the vibrations attenuation of the smater sandwich can be modelled and controlled based on the dynamic-eletromagnetic coupling

Although this proposal is focused on Advanced Materials, if succesful, it will have positive implications on the environment and the prosperity of society.

Cognitive remediation in chronic diseases

Psychology

Dr Natalia Ojeda Del Pozo

University of Deusto in collaboration with several international institutions

Psychologist, engineer, experience in cognitive deficits and/or neuropsychological training preferred.

• Life Sciences (LIF)

Update of a successful implemented cog remed program program developed by this research team named Rehacop/RehacoG. More info available at http://www.neurolab.deusto.es http://www.rehacop.deusto.es http://normacog.deusto.es/ http://www.neuropsicologia.deusto.es

See results at: https://www.ncbi.nlm.nih.gov/pubmed/?term=Ojeda%20N%5BAuthor%5D&cauthor=true&cauthor_uid=31136022

Cognitive deficits profile of patients with schizophrenia and first episode psychosis Neuropsychological rehabilitation in Parkinson´s Disease and Multiple sclerosis Neuroimaging correlates of cognitive deficits in neurological and psychiatric diseases Normalization of neuropsychological instruments into Spanish population Brain stimulation for creativity

Neurology Psychiatry Radiology Physical therapy Speech therapy EEG experts

Yes, it is an option

All our research work is clinically applied and implemented in hospitals and clinical and social settings for patients and caregivers. We work in interdisciplinary teams all the time.

For more than 20 yrs we collaborate in a very active way with international teams and belong to prestige international networks. We will support MSCA and ERC proposals.

It can be if the candidate request so

Hospital Psiquiátrico Alava Asociación pacientes Parkinson Bizkaia Diputacion Foral de Bizkaia Eragintza

Yes

We aim to update an instrument that has been implemented in over 500 clinical setting in diff countries to improve patient´s quality of life and promote independent living. The system has been award with several national and international awards and is being translated into diff languages.

We aim to expand the tool to more setting in Europe to be helpful to a larger population. The candidate will have the opportunity to join a well acknowledged scientific team and to get the experience of a cog remediation system with scientific proven efficiency, get it to be expanded and better known over Europe

Since the users of the tool are patients with several types of limitations, we aim to promote the inclusion of these populations into society, to increase their quality of life and promote their independent living.

Communication

Leisure, Culture and Communication for Human Development

Pilar Rodriguez maria.pilar@deusto.es https://orcid.org/0000-0001-5905-9152 https://www.deusto.es/cs/Satellite/deusto/es/universidad-deusto/sobre-deusto-0/deusto-quienes-somos/profesores/2757/profesor

Communication Research Group. Officially recognised by the Basque Government with the highest category (A) and funding from 2019-2021. https://www.deusto.es/cs/Satellite/deustoresearch/es/inicio/centros-equipos-e-investigadores/equipos-de-investigacion/comunicacion/equipoinvestiga

Research in Communication according to the lines of research of the group: -Gender and communication -Audiovisual communicatio -Big data -Communication and market research -Literary, linguistic and historical discourses

• Social Sciences and Humanities (SOC)

Research should be aligned with the research lines of the group Communication as stated above.

1. Rodriguez, M. Pilar and Stone, Rob.Basque Cinema: A Cultural and Political History. London, IB Tauris, 2015. 2. Gutiérrez, Miren. Data Activism and Social Change. London, Palgrave, 2018. 3. Rodríguez, M. Pilar (ed.). The Role of the Humanities in Times of Crisis. Madrid, Dykinson, 2015. 4. Rodríguez, M. Pilar and Gutiérrez, Miren (2019). “Active Participation and Citizenship: The Power of Technology to Change Power Dynamics”, Eds. Suárez, Juan Carlos; Marín, Sergio y Panarese, Paola, Comunicación, género y educación. Representaciones y (de)construcciones. Madrid: Dykinson, 509-522. 5. Barandiaran, X. Luna, A. (2018). Building the future of public policy in the Basque Country: Etorkizuna Eraikiz, a metagovernance approach. Cogent Social Sciences 4, 1-15.

Competencias en educación audiovisual para estudiantes de bachillerato. Diputación Foral de Guipúzcoa, 2005. -Estudios culturales y de los medios de comunicación: Informe y propuestas de desarrollo en la enseñanza universitaria, 2007. -Igualdad de género en cine y televisión: legislación, realización y distribución. Análisis del panorama en el Estado español, Instituto de la Mujer, 2007. -Igualdad y empleo. Diputación Foral de Guipúzcoa 2008/2009. -Exilio y cine. Gobierno Vasco y MICINN, 2011. -Basque Cinema: History, Politics and Arts. Leverhulme Fellowship (Rob Stone) 2012-2014. -Gender Dimension in Communication Studies. Aristos Campus Mundus, 2012-2013. -Meta-análisis para el estudio de los medios de comunicación y la publicidad. BEGIRA-Gobierno Vasco, 2014. -Proyectos Paz y Convivencia Gobierno Vasco, 2015 y 2016. -Escasez de vocaciones tecnológicas de las mujeres en Euskadi, Gobierno Vasco, 2017. -GEARING Roles: EU grant of 3 million euros for nine partner institutions: http://www.gearingroles.eu

All topics in areas related to Communication, particularly those aligned with the key interests of the research team: -Gender and communication -Audiovisual communicatio -Big data -Communication and market research -Literary, linguistic and historical discourses

Yes. We presently support (and even econcourage) co-direction of dissertations by one or two members of the Claustro of our Ph.D. programme in Leisure, Culture and Communication for Human Development, or adding another internal (University of Deusto) or external member.

We are an interdisciplinary group and welcome interdisciplinary approaches. We write and publish in different areas (cinema, visual studies, journalism, communication studies, gender studies, literary and cultural studies, history, etc.), and more importantly, we often publichs books and articles that are interdisciplinary.

See information about University of Deusto (IRPO)

It may be implemented in the situation is feasible.

It depends on the nature of the project, but we have strong international collaborations with academic centers such as the University of Birmingha, Dartmouth College and the University of Wisconsin. Previous exchanges and collaborations with these and other centers have taken place in the past years.

Yes, if the student find the adequate environment.

We expect high academic achievement and social impact through collaborations with the civil society and relevant stakeholders according to the topic.

Please, see description of the call.

We are strongly committed to equality and consider gender perspectives and human rights form an intersectional perspective. Our publications are proof of our serious committment, and we expect the topics and the approach in the proposal to follow such guidelines.

The politics of green transformations: How does opposition to extractive activities shape development policies?

Human Rights: Ethical, Social and Political Challenges

Javier Arellano-Yanguas Researcher ID: O-7517-2018 Orcid: 0000-0002-3574-3766 Scopus autor: ID: 38361128400 Google Scholar: 3SBsStwAAAAJ Short Bio: Javier Arellano-Yanguas is a research fellow and lecturer at the Centre for Applied Ethics at the University of Deusto (Bilbao, Spain). He is currently the director of the Centre. Javier holds a PhD in Development Studies from the Institute of Development Studies (University of Sussex) and has developed a multidisciplinary academic background that includes graduate and postgraduate studies in engineering, religion studies, and political economy. His work focuses on the political economy of natural resources led development, social conflicts, social accountability, and the interactions between religion and development. Most of this research is done in Andean countries and encompasses both quantitative and qualitative approaches.

Center for Applied Ethics (CAE) https://socialesyhumanas.deusto.es/cs/Satellite/socialesyhumanas/en/centre-for-applied–ethics. The postdoctoral fellow will be integrated to the Center for Applied Ethics (CAE), and more in particular, the research will be carried out as part of Development and Social Transformation line of research developed by the CAE. The CAE conducts interdisciplinary research on social practices in light of questions, theoretical approaches, and methodologies in which the ethical dimension has a central role. The Development and Social Transformation line of research focuses on the empirical analysis of sociopolitical processes of change, with a special interest in local conflict, social mobilisation, and accountability.

• Background training in social sciences • Academic or professional experience in the fields of public policy, social conflicts, political economy, and/or theories of development. • Knowledge of Andean countries • Skills for independent and team work, and academic writing • English language: reading, oral, and writing. • Spanish language: reading, oral, and writing (recommended)

• Social Sciences and Humanities (SOC)

Throughout the world, proponents and opponents of big mining projects fight in the name of development. Opponents claim that big mining projects promote an unsustainable development model that deteriorates the environment and reproduces an unjust social order. Promoters defend the exploitation of minerals to foster development. Although the developmental narrative attached to the exploitation of natural resources is difficult to counteract, some opponents’ proposals spur academic and policy discussion, eventually becoming mainstream. Examples abound. The introduction of environmental and social safeguards in the design, and operation of investment projects or international legislation to protect ethnic minorities are the result of opposition campaigns, not of mere technical analysis. Despite recognition that conflict frequently opens space for negotiation, deliberation, and policy change, the sequence and nature of interactions connecting local opposition to a change in global development ideas and policies remain largely unexplored. The main challenge of this research is to produce knowledge, from an empirical and interdisciplinary perspective, on how interactions between proponents and opponents happen and how these interactions shape ideas and policies at the national and global levels. Applicants should propose a thesis that contributes to the overall research question: How does opposition to big mining projects transform mainstream development ideas and policies?

Arellano-Yanguas, J. (2011). Aggravating the resource curse: Decentralisation, mining, and conflict in Peru. Journal of Development Studies, 47, 617-638. [SSCI-Wos; 92 cites in the WoS Core Collection; 101 cites in Scopus; 247 cites in Google Scholar; it is the most cited article in the WoS among all articles published in the Journal of Development Studies in 2011]. Arellano-Yanguas, J. (2011). ¿Minería sin fronteras? Conflicto y desarrollo en regiones mineras de Perú. Lima: IEP y PUCP. [34 cites in Scopus; 171 cites in Google Scholar; in 2014 a second edition was published). Arellano-Yanguas, J. (2012). Mining and conflict in Peru: Sowing the minerals, reaping a hail of stones. In A. Bebbington (Ed.), Social conflict, economic development and the extractive industry: Evidence from South America. London: Routledge. [26 cites in Scopus; 52 cites in Google Scholar; a Spanish version of the book was published in 2013 in Peru by the Institute of Peruvian Studies, and this Spanish chapter has also several cites]. Arellano-Yanguas, J., & Bernal-Gómez, M. d. P. (2017). Partnerships for development in the extractive sector: protecting subterranean interests? Journal of Environmental Policy & Planning, 19, 251-265. [SSCI-WoS; SCOPUS; 3 cites in WoS, 3 cites in Scopus, 5 cites in Google Scholar]. Arellano-Yanguas, J. (2019). Extractive industries and regional development: Lessons from Peru on the limitations of revenue devolution to producing regions. Regional & Federal Studies, 1-25. DOI: 10.1080/13597566.2018.1493461 [SCOPUS; Emerging Sources-WoS; 1 cite in WoS, 1 cite in Scopus, 3 cites in Google Scholar ].

1. Project: Extractive industries and local development: a comparative study on the influence of tax and redistribution politics in three Andean countries Principal investigator: Javier Arellano-Yanguas 2012-2016 Funding: Unión Europea- FP7 Marie Curie Career Integration Grant 2. Project: Extractive industry, decentralization and development: an Andean comparative study Principal investigators: Javier Arellano-Yanguas and Anthony Bebbington 2012-2014 Funding: Ford Foundation 3. Project: Extractive Industries, revenue allocation and local governance Principal Investigators: Javier Arellano-Yanguas and Andres Mejia Acosat (Kings College London) 2013 Funding: UNRISD e Institute of Development Studies

The proposal integrates different disciplines within the broad field of social sciences (political science, political economy, sociology) and ethical reflection.

The possibility of co-direction with other members of the CEA team experts in ethics is open to discussion depending on the features of the proposal. Also the involvement of potential social partners.

The proposal is interdisciplinary at three different levels: Team composition: CAE is an interdisciplinary and cross-faculty research center. Research problem: The research question needs an interdisciplinary approach as it sits at the intersection of diverse bodies of academic work on conflict studies, development theory, political economy, knowledge sociology, public policies and ethics. Methodology: The PhD candidate should use different methodology tools such as historical sociological analysis, policy analysis, and fuzzy set/Qualitative Comparative Analysis,

The topic proposed relates to the H2020 challenge on «Climate Action, Environment, Resource Efficiency, and Raw Materials». Moreover, it is directly related to several SDGs (1, 6, 7, 10, 11, 12, 13, 15, 16, and 17).

It is not envisaged at this moment, but the scientist in charge is open to take into consideration opportunities of international-direction that can help in the development of the research project.

The ALBOAN Foundation, that since 2019 coordinates the international «Justice in Mining Network» of the Society of Jesus, is potentially interested in collaborating/participating in the research project.

Depending on further discussions, ALBOAN/Justice in Mining Network may be an appropriate partner to pursuit an industrial doctorate.

The research results aim to engage with ongoing national and global debates about the role of mining in the development process, the emergence of alternative development and transition proposals, and the necessity of more sustainable and equitable development patterns. The Justice in Mining Network will be a key partner in the dissemination of the research results. Moreover, during the research process, we aim to build relationships with different stakeholders that can contribute to the uptake of the results.

The proposal offers three main innovations: First, the proposal incorporates a radical questioning of the role of big mining projects in the development process. A closer collaboration between development studies, the study of collective action, and public policy analysis is necessary to explain the deep (economic, political, spatial, and temporal) implications of big mining projects. Second, the proposal attempts to foster this collaboration. Second, the proposal aims at providing a detailed and rich historical and multilevel analysis of the mechanisms linking local opposition to mining projects with changes in development ideas and policies at the global level. This analysis will contribute to the development of a theory of social change focused on the role of conflict and contentious interactions as creative dynamics. Third, despite an approach focused on the opposition to megaprojects, the proposal will provide an exhaustive critical analysis of the ability of opponents to generate alternative ideas and policies and design transition strategies to implement these alternatives. Radical theory tends to cherish bottom-up mobilisation processes without questioning the ability of the actors involved in the mobilisation to elaborate realistic and feasible alternative proposals in addition to building wider coalitions to realise change.

The research proposal will include groups of the population that are notably affected by the construction and operation of big mines such as indigenous people, peasants, and farmers. Within those groups, the research proposal will analyse the different perspectives of men, women, young and elderly people. Their perspectives will be taken into consideration during the research process and will inform the dissemination and use of the results.

INFORMAL MEANS OF HISTORY EDUCATION AND THEIR CONTRIBUTION TO PEACE BUILDING:

Human Rights: Ethical, Social and Political Challenges

Angela Bermúdez Vélez. Researcher ID – Web of Knowledge: H-1290-2011 https://deusto.academia.edu/BermúdezVélezAngela Angela Bermudez is a researcher at the Center for Applied Ethics in Deusto University, where she chairs the research group on Conflicts and Cultures of Peace. Her research investigates the role of formal and informal history education in fostering or hindering a critical understanding of political violence, and thus, how it may contribute to peace building. She obtained her doctorate from the Harvard Graduate School of Education in 2008 where she investigated youth engagement in the discussion of social and political controversies. Prior to that, she worked in Colombia, where she was born and raised. For over a decade she worked in the field of democracy education, developing curriculum guidelines and teaching and assessment resources, training teachers, teaching youth, and doing research and consultancy with national and international organizations.

Center for Applied Ethics (CEA) https://socialesyhumanas.deusto.es/cs/Satellite/socialesyhumanas/en/centre-for-applied–ethics. The postdoctoral fellow will be integrated to the research team on Conflicts and Cultures of Peace at the Center for Applied Ethics (CAE) of the University of Deusto. The Center for Applied Ethics, ascribed to the Faculty of Social Sciences and Humanities, is integrated by an interdisciplinary team of people dedicated to research, teaching and the transference of knowledge regarding the ethical dimension of social and political processes. The research line on Conflicts and Cultures of Peace investigates different processes of legitimation and de-legitimation (questioning) of the use of violence as a means of managing social conflicts. This research team is particularly interested in the educational processes that promote peace building. An ongoing research project investigates the relationship between history education, the social construction of historical memory, and the development of sustainable cultures of peace. A second line of work focuses on the educational potential of the perspective and experience of the victims of political violence.

Prospective applicants for this position should have: • Background training in social sciences and humanities. • Academic or professional experience in the fields of history education, memory studies, and/or peace building. • Interest in qualitative research. • Skills for independent and team work and academic writing. • English language: reading, oral, and writing. • Spanish language: reading, oral and writing (recommended).

• Social Sciences and Humanities (SOC)

Applicants should propose a thesis to be developed within the project “Informal Means of History Education and their Contribution to Peace Building”. We live surrounded by historical narratives that normalize violence, leading people to take it for granted, without reflecting about its roots, causes, consequences and alternatives. A high proportion of the contents of history education across the world refer to violent events. However, violence is rarely made the object of explicit critical analysis. Previous research by this team shows that textbook narratives often contribute to feed the belief that in the face of conflict, violence is inevitable, necessary, justifiable, and effective. Yet, people also learn about the violent past when they visit museums and memorial sites, read historical novels, watch historical movies, or engaging the arts. An analysis of the narratives of the violence past conveyed through these different means could shed light on varied ways in which formal and informal history education may foster a critical understanding of political violence. Thus, the project is interested in investigating questions such as: a) What are the affordances and limitations of different types of historical narratives to generate a critical understanding of the violent past? b) What happens when violence is made visible and turned into the object of reflective inquiry and discussion? Does that lead people to de-normalize violence?

• Bermudez, A. & Epstein, T. (2020). “Learning about the violent past in memorial museums – Ethical reflection and history education”. Journal for the Study of Education and Development. Special Issue on “Popular Uses of the Past and Education: the Effects of Fading Boundaries” (Forthcoming). • Bermudez, A. (2019). “The normalization of political violence in history textbooks: Ten narrative keys”. Historical Dialogues, Justice, and Memory Network – Working Paper Series, No. 15. March 2019. • Haste, H. & Bermudez, A. (2017). “The power of story: Narrative, history and civic identity”. In, Carretero, M. Berger, S., & Grever, M. (Eds.) International Handbook of Research in Historical Culture and Education. London: Palgrave MacMillan. • Stoskopf, A. & Bermudez, A. (2016). “The sounds of silence: American history textbook representations of non-violence and the Abolition Movement”. Journal of Peace Education, published online on September 22, 2016. DOI: 10.1080/17400201.2016.1230543 • Bermudez, A. (2015). Four tools for critical inquiry in history, social studies and civic education. Revista de Estudios Sociales, 52, 102-118. • Bermudez, A. (2014). Integrating cognitive and discursive approaches in the analysis of critical reflection within relational and socio-cultural contexts. In, SAGE Cases in methodology. London: Sage Publications (ISBN:9781446273050,http://dx.doi.org/10.4135/978144627305014533946). • Padilla, A. & Bermúdez, A. (2016). Normalising conflict and de-normalising violence: Challenges and possibilities in a critical teaching of the history of the Colombian Armed Conflict. Revista Colombiana de Educación, (71), 187-218. • Gantxegi, I., Bilbao, G., & Bermudez, A. (2018). Recognising victims of political violence: Basque literary narrative as an ethical tool. Studies in Conflict and Terrorism, Published online 10-04-2018. DOI: 10.1080/1057610X.2018.1452808

P.I. Angela Bermudez recently concluded an international research project “Understanding Political Violence through History Education: Comparative Study of History Textbooks and Teachers in the Basque Country, Colombia and the United States,” which was funded by a Marie Curie Career Integration Grant (EU 7th Framework Programme 2012-2016) and a Spencer Foundation Research Grant (2013-2014). Building off the results of this previous project, her current research agenda continues to investigate the role of history education in fostering a critical understanding of political violence, but it expands the focus on formal school based history education to include informal sites of history education such as museums and memorials, film and literature. With the support of a research grant by BBVA (Banco Bilbao Vizcaya Argentaria) she is currently conducting a pilot analysis of memorial museums and sites dedicated to the Spanish Civil War and other episodes of the violent past. She is currently preparing new grant proposals different national and international research agencies and foundations.

History education, memory studies, peace and conflict studies, psychology and ethics.

Co-direction is not currently envisaged, but it would be possible if reasonable proposals are made.

• Team composition: CAE is an interdisciplinary and cross-faculty research center and home to a vibrant community of researchers. The members of the Center have academic training and/or professional experience in fields such as education, psychology, history, sociology, philosophy, ethics and peace and conflict studies. • Research problem: Our team investigates the roles that formal and informal history education can play in the development of a critical understanding of political violence, and in fostering cultures of peace. This problem sits at the intersection of diverse bodies of scholarship on history education, peace and conflict studies, memory studies, psychology and ethics. • Methodology: The studies conducted by the team employ three analytic models designed by the Principal Investigator which involve interdisciplinary work: a) Narrative Keys for the Representation of Violence, b) Critical Inquiry Tools, c) Socio-Cultural/Discourse Analysis. Given our interest in excavating the inherent social messaging embedded in historical accounts, we draw upon discourse analysis to shed light on the ways in which language and narrative are used to achieve social goals. Ethical philosophy is crucial in the assessment of the representation of violence conveyed through historical narratives in museums. Cognitive and developmental psychology are used to shed light on how museum exhibits build upon and encourage critical reflection and historical understanding.

The P.I. of the host research team participates in several international research and professional networks that would provide the postdoctoral fellow with valuable opportunities to attend specialized seminars, contribute to publication projects, participate en academic visits and exchange programs, and engage with concrete research activities. These include: • Research Network on Historical Culture and History Education. Coordinated by Professors Mario Carretero (Department of Psychology, Universidad Autónoma de Madrid) and Maria Grever (Center for Historical Culture – Erasmus University, Rotterdam). This network recently presented a proposal to the H2020-MSCA-RISE-2019 call, and is waiting for final results. • EUROCLIO – European Association of History Educators. Current collaboration in the project Learning to Disagree. • Historical Dialogues, Justice, and Memory Network. Regular participation in academic seminars and annual conferences.

International Co-direction is not currently envisaged, but it would be possible if reasonable proposals are made.

Relevant external stakeholders that could be interested in collaborating within the framework of the proposed research include: • Memorial museums, their curatorial and education teams, which would benefit from research that is likely to help them improve the design of exhibits and educational activities geared towards the goal of contributing to peace-building. • Schools and other educational institutions, which could benefit from research that is likely to provide pedagogical tools to enrich their work.

No.

This research team carries out a distinctive and innovative research agenda. Our studies integrate different disciplinary perspectives to construct original research problems that bridge between ethics and pedagogy, historical memory and peace building, theory and practice. In this way, it advances a needed interdisciplinary dialog. The results obtained with this research are likely to contribute to expand current scholarship, particularly in relation to the challenges of teaching youth about the violent past. Our work contributes a novel examination of the potential of key features of innovative history education to undermine the normalization of political violence by engaging young people in critical inquiry and reflective discussion regarding discrete episodes of political violence in their recent past. In addition, the results of our studies are likely to have an important social impact on the ongoing processes of conveying critical historical memory and building cultures of peaceful coexistence and respect for human rights. A high proportion of the contents included in history curricula across the world refer to violent events and processes. The historical narratives taught in schools tend to normalize and legitimize political violence. However, alternative approaches to history education can expose young people to different accounts of the violent past, and engage them in critical inquiry and reflective discussion that transform these narratives.

This research team carries out a distinctive and innovative research agenda. Our studies integrate different disciplinary perspectives to construct original research problems that bridge between ethics and pedagogy, historical memory and peace building, theory and practice. In this way, it advances a needed interdisciplinary dialog. It also bridges between conceptual developments, empirical research, and practical applications.

The analysis of historical narratives about the violent past pays special the attention to the representation of the vicitims of political violence, a significant vulnerable group. In addition, gender based violence is a particularly salient dimension in the examination of representations of political violence. The analysis of such representations is important to develop awareness of the problem and to identify curatorial and educational approaches that contribute to foster a critical understanding and renewed social representations.

Large-scale, EU-standardized open platform to facilitate long-term healthy and active aging.

Engineering for the Information Society and Sustainable Development

Dr. Eduardo Carrasco, Senior Researcher at eHealth and Biomedical Applications at Vicomtech (www.vicomtech.org), https://orcid.org/0000-0002-4908-3121

Fundación Centro de Tecnologías de Interacción Visual y Comunicaciones VICOMTECH or VICOM (www.vicomtech.org/en) is an applied research centre for Multimedia, Communication and Visual Computing Technologies located in San Sebastian (Spain). VICOM is a non-profit foundation established in 2001. Vicomtech has a strong record in ICT technology transfer and applied research with companies in different sectors. VICOM’s main research lines lay in the fields of computer vision, computer graphics and interaction. Among its 120 employees, more than 80 are researchers (40 PhD) dedicated to the field of applied research. Due to the direct contact to several industries from different sectors (Engineering, Transport, Medical), the researchers are experts in bringing innovation to the companies with the latest advances in research. At the eHealth and Biomedical Applications Department we closely cooperate with healthcare institutions and industrial partners in the research and development of technologies, prototypes and products for computer-assisted diagnosis, intervention, rehabilitation, independent living support systems, telemedicine and home care and assistive technologies. VICOM has strong expertise in European projects with proven track record in coordinating EU projects, such as DESIREE (H2020-PHC), MIDAS (H2020-PM) …

We are looking for a candidate with strong personal interest in boh computer science and the healthy aging field. The candidate will pursue a PhD at Vicomtech and will collaborate with a team of researchers working in a H2020 project. We are looking for a person interested in science but also in accompilshing applied research, i.e. aiming at developing solutions intended to impact at the society at the short-medium term.

• Information Sciences and Engineering (ENG)

The candidate will research on several topics that are interlinked together. First, the candidate will research and propose a model to stratify the main characteristic of large populations of elderly people. The model will include elderly people living independently at their homes, but also those elderly people living in other settings such as residential homes for example. Second, an automatic stratification model will be researched and implemented for the automatic profiling of populations of elderly people. The platfom to be developed in the project will provide a wide range of data to be used in the profiling module. Third, methods based on artifical intelligence will be explored for assessing and predicting the subjects with higher risk of suffering social, health or wellbeing decline. Finally, personalized interventions will be proposed for each individual in order to promote healthy and independent living for each elderly person.

Larburu, Nekane, Arkaitz Artetxe, Vanessa Escolar, Ainara Lozano, y Jon Kerexeta. «Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model». Mobile Information Systems 2018 (5 de noviembre de 2018): 1-11. https://doi.org/10.1155/2018/1546210. Muro, Naiara, Nekane Larburu, Jacques Bouaud, Jon Belloso, Gerardo Cajaraville, Ander Urruticoechea, y Brigitte Séroussi. «Augmenting Guideline Knowledge with Non-Compliant Clinical Decisions: Experience-Based Decision Support». En Innovation in Medicine and Healthcare 2017, editado por Yen-Wei Chen, Satoshi Tanaka, Robert J. Howlett, y Lakhmi C. Jain, 71:217-26. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-59397-5_23. Sanchez, Eider, Carlos Toro, Arkaitz Artetxe, Manuel Graña, Cesar Sanin, Edward Szczerbicki, Eduardo Carrasco, y Frank Guijarro. «Bridging Challenges of Clinical Decision Support Systems with a Semantic Approach. A Case Study on Breast Cancer». Pattern Recognition Letters 34, n.º 14 (octubre de 2013): 1758-68. https://doi.org/10.1016/j.patrec.2013.04.003. Larburu, Nekane, Naiara Muro, Iván Macía, Eider Sánchez, Hui Wang, John Winder, Jacques Boaud, y Brigitte Séroussi. «Augmenting Guideline-Based CDSS with Experts’ Knowledge»: En Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, 370-76. Porto, Portugal: SCITEPRESS – Science and Technology Publications, 2017. https://doi.org/10.5220/0006213903700376. Diaz-Orueta, Unai, Aitziber Etxaniz, Mari Feli Gonzalez, Cristina Buiza, Elena Urdaneta, y Javier Yanguas. «Role of Cognitive and Functional Performance in the Interactions between Elderly People with Cognitive Decline and an Avatar on TV». Universal Access in the Information Society 13, n.º 1 (marzo de 2014): 89-97. https://doi.org/10.1007/s10209-013-0288-1. Artetxe, A. et al, Using Anticipative Hybrid Extreme Rotation Forest to predict emergency service readmission risk. Journal of Computational Science, Volume 20, May 2017, Pages 154-161.

* MIDAS (Meaningful Integration of Data Analytics and Services) – H2020 Health Research and Innovation Action aiming to address the needs of policy makers and citizens across Europe by delivering a unified big data platform. This platform will map, acquire, manage, model, process and exploit existing heterogeneous health care data and other governmental data along with external open data to enable the creation of evidence-based actionable information. • CAPTAIN (Coach Assistant via Projected and Tangible Interface) – H2020 Health Research and Innovation Action aiming to create a “transparent” technology designed to turn the home of the older adult into a ubiquitous assistant specifically designed to compensate for their physical and memory impairments during their daily living. It leverages on a few state of the art technologies, such as “projected augmented reality”, real-time 3D sensing technologies, ubiquitous tangible interface or speech analysis. • DESIREE (Decision Support and Information Management System for Breast Cancer) – H2020 Health Research and Innovation Action aiming to provide a webbased software ecosystem for the personalised, collaborative and multidisciplinary management of primary breast cancer by specialised breast units, from diagnosis to therapy and follow-up. Besides being the project coordinator, VICOM is responsible for the development of the decision support system and image processing and breast tissue characterisation.

This area requires to integrate knowledge from different areas such as computer science, artificial intelligence, health care, gerontology & psychology.

Yes. Dr. Eduardo Carrasco would be the co-director at Vicomtech for the thesis envisaged.

Vicomtech has been granted with a H2020 project that will last four years. This project is a relevant Innovation Action funded by the European Commission. The research to be conducted will be carried out in this project. This project provides the perfect set-up for the PhD since a wide range of organisations are part of the consortium (36 partners) including relevant universities, health and care organizations, gerontology experts and technology reserch centers. Hence the consortium integrates all the needed interdisciplinarity.

The proposed topic is fully aligned with H2020 priorities. In fact, the project that has been granted is in the following call: Horizon 2020: Digitising and transforming European industry and services, Topic: DT-TDS-01-2019: Smart and healthy living at home.

No international co-direction is planned so far. But we are open to look for it in the case the candidate is interested in this option.

In Gipuzkoa region the Local Goverment is pushing for the development of a network of companies and institutions in the Healthy Aging field. A significant movement in this direction is the creation of Adinberri Foundation in order to foster the growing of this network. In fact, Adinberri is committed to participate in the H2020 project that will set the grounds for the research to be conducted. More info at: https://www.gipuzkoa.eus/es/etorkizunaeraikiz/adinberri

Industrial doctorate is not envisaged at this phase yet. Anyway, at Vicomtech we have a close relation with relevant local industrial players that may be interested in the research project, and the mission of Vicomtech is to promote applied research. Hence, industrial contact will be carried out in order to facilitate the future industrial adoption of the results of the research to be conducted.

There is a significant social awareness on the active and healthy aging issue at this moment in Spain and also in Europe in general. At the same time, there is a high pressure to develop solutions that promote the sustainability of the care that is provided to the elderly people. Hence, the project results will have a high impact on society because it is very much aligned with current social needs.

A large-scale open platform to facilitate long-term active and healthy aging.

The proposed topic integrates the inclusion dimension from the very beginning because it aims to provide a service for elderly people in general including those that have dissabilities and are in vulnerable situations.

“Deep Learning techniques applied to industrial automation problems”

Engineering for the Information Society and Sustainable Development

Dr. Alberto Tellaeche Iglesias – University of Deusto. Google Scholar: https://scholar.google.es/citations?user=LHifZmAAAAAJ&hl=es Research Gate: https://www.researchgate.net/profile/Alberto_Tellaeche

The University of Deusto is one of the oldest universities in Spain, founded in 1886. More than 40 years ago, Deusto Engineering faculty was the first in the country to offer Computer Science studies. Nowadays this faculty covers a wide spectrum of engineering branches such as Computer Science, Automation, Electronics, Mechanics, Industrial Technologies, etc. Today, the Faculty of Engineering counts with more than 100 researcher profiles, with more than 600 research projects in the last 20 years, summing up more than 60 million euros. The Research Unit that will hold this proposal is Deusto for Knowledge (D4K), recognized by the regional government since 2010, focusing its activity in Applied Computational Intelligence. This group has experience in applying soft computing techniques to industrial processes , and continues focusing its efforts on giving solutions to advance manufacturing applications and to all the Industry 4.0 challenges that may arise.

Applicants for positions must hold an MsC degree in Computer Science, Electronics, Automation or Industrial Engineering. Experience in developing industrial applications interfacing with automation equipment such as robots, cameras, PLC, etc, will be highly valuable. Good knowledge of Embedded Systems, Linux, C++, Python and MATLAB. Strong mathematical foundations and knowledge of statistics are also needed. Fluency in English (understanding, speaking and writing) and ability to work in a team and collaborate with people in complementary disciplines are essential.

• Information Sciences and Engineering (ENG)

Industrial applications in the digital industry or Industry 4.0 seek to carry out tasks in unstructured environments just as a human worker would do in a similar situation. Adaptability of the production systems and rapid adoption of new conditions are among the most important advancements that this new paradigm is bringing to the manufacturing companies. This flexibility, adaptability and productivity leads to a much more complex situations in terms of engineering processes. Because of this, the artificial intelligence (AI) plays a fundamental role in the new industry 4.0. Robotics applications for picking objects, inspection lines to detect texture failures in production, etc, need an advanced processing of data using AI to fulfill requirements. The applicant will consider advanced robotics and machine vision problems in industry, using advanced AI techniques such as Deep Learning algorithms to obtain a solution for them that will overcome the current state of the art. Taking all this into account, we are looking for a student motivated enough to develop research activities in this area. Specifically, the project will involve, but it is not limited to, the following aspects: Development of machine learning and deep learning algorithms for industrial robotics applications, such as Bin Picking. Use of AI in advanced industrial machine vision algorithms: texture recognition, failure detection, etc. Integration of these algorithms in systems using real industrial hardware.

Maurtua, I., Fernandez, I., Tellaeche, A., Kildal, J., Susperregi, L., Ibarguren, A., Sierra, B. (2017). Natural multimodal communication for human-robot collaboration. International Journal of Advanced Robotic Systems. Vol 14, Issue 4. SAGE Publications. Tellaeche, A., Arana, A. (2016) Robust 3D object model reconstruction and matching for complex automated deburring operations. Journal of Imaging 2(1), 8. Tellaeche, A. Maurtua, I., Ibarguren, A. (2016). Use of machine vision in collaborative robotics: An industrial case. In 21st International Conference on Emerging Technologies and Factory Automation. IEEE. Pastor-López, I., Santos, I., Santamaría-Ibirika, A., Salazar, M., de-la-Pena-Sordo, J., & Bringas, P. G. (2012, July). Machine-learning-based surface defect detection and categorisation in high-precision foundry. In Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on (pp. 1359-1364). IEEE. Santos, I., Nieves, J., Bringas, P., & Penya, Y. (2010). Machine-learning-based defect prediction in high precision foundry production. Structural Steel and Castings: Shapes and Standards, Properties and Applications, 259-276.

The scientific in charge of this proposal, Dr. Alberto Tellaeche, holds a PhD degree in Computer Science, obtained in 2008, with research focused on machine learning applied to natural images. For the last 11 years he has been focused on research projects that comprise machine vision, artificial intelligence and robotics. The most significant ones are cited below: PIROS – EUROC (Challenge 1 Robotic pallet preparation using force and vision control). Competitive European Project. Budget: 173.160,0 € FourByThree (Highly customizable robotic solutions for effective and safe human robot collaboration in manufacturing applications). Competitive European Project. Budget: 1.001.240,0 € DEBUR ( Automatic Deburring System of injected 3D components). Competitive European Project. Budget: 260.875,0 € A4BLUE – Adaptiv Automation of collaborative part mounting to enhance workers´ satisfaction. Competitive European Project. Budget: 1.011.750,0 € Projects representative of the research unit D4K, are: VESSEDIA:Verification Engineering of Safety and Security Critical Dynamic Industrial Applications. Competitive European Project. Budget: 352.125 € HORUS: Hornos de recalentamiento inteligentes para procesos siderúrgicos competitivos y sostenibles. CIEN Spanish Call. Budget: 122.890 € FIPS: Future Intelligent Production System. Private project with the U.S. Navy. Budget: 137.000 €

This proposal is presented to progress beyond the state of the art in new manufacturing problems of recent appearance, related with the new Industry 4.0 paradigm. The following knowledge areas integration will be needed: Industrial Automation: Programing of robots, use of sensors and cameras. Mechanics: For scenario setup. Electronics: Connection of elements, etc Computer Science: Fundamental knowledge area for IA algorithm development.

Yes. Co-direction of the thesis will be carried out by another scientific of the D4K group.

While the research is mainly focused on Computer Science and AI algorithm development, there is also a demand of construction of real industrial setups to test the algorithm developments, after a first stage of algorithm modeling and analysis. Industrial setups and real interaction with the hardware (cameras, sensors, robots, etc) will require from the candidate the use and integration of different engineering disciplines, such as mechanics, electronics, etc.

The 2018-2020 work program focuses efforts on four principal topics (https://ec.europa.eu/programmes/horizon2020/en/h2020-section/cross-cutting-activities-focus-areas), one of them being «Digitising and transforming European industry and services». The budget for this area is 1.8 billion Euros, which gives an idea of the importance the European Commission (EC) gives to this specific subject. Expanding the idea more, the EC seeks a development in «Digitisation of products, services and processes will transform industry and provide solutions to several major societal challenges.» The research area proposed fully aligns with this idea. According to the 2030 agenda for Sustainable Development this project will contribute directly to advance in the following goals: 5th (Gender Equality), 8th (decent work and economic growth),9th (Industry, Innovation and Infrastructure), 11th Sustainable Cities and Communities and 12th (Responsable Consumption and Production), having also a positive indirect impact on the rest.

Initially there is no international co-direction or «co-tutelle» planned.

The work intended to develop as a result of this research project has direct applicability in industrial companies in the manufacturing sector. Companies interested could easily contribute as external stakeholders for this project, starting with the Etxe-Tar group, an international known group of machine tool campanies, that is going to collaborate closely in the research activities proposed in this work.

The research topic presented in this proposal has direct applicability to industry. Historically, the Basque Country region has a long and strong industrial tradition, focused on the production of machine tool goods, parts for the automotive sector, etc. This region is one of the strongest in Europe in this field, and machines and solutions built in the Basque Country are exported worldwide. This proposal comes directly to cover the obvious necessity of the basque industrial manufacturing sector, detected by Dr. Alberto Tellaeche in his more than 15 years of real industrial experience. Outcomes of this research will have scientific quality for the obtaining of a doctorate degree, and also direct applicability in the solution of present industrial problems. As stated in the previous section, the Etxe-Tar group (http://www.macarbox.com/es/etxetar-group) is going to be the main beneficiary of the findings of this proposal, as agreed in the collaboration of the company with this project.

Smart Manufacturing is a priority in the actual industrial research. Although in the last years there have been steps forward to obtain more flexibility in the production lines, there is still a big gap between the real achievements and the theoretical objectives that could drive to a real new production scenario. A good example of this situation in the operation of Bin Picking in robotics, that is, picking of several different objects from an unstructured environment (a bin) using a robot for machine tending, for example. Many attempts have been done so far to solve this problem, but it is still in a very early stage of development. Another example is the production quality control. There are many situations, such as reflective surfaces or surfaces with special textures, where scratches, breakages or other typology of errors can not be detected with machine vision algorithms present in the state of the art. The work proposed in this research topic aims to find a real implementable solution (algorithms + real implementation) to give a solution to these type of problems in industry.

Research and development of new algorithms for solving challenging industrial proposed problems in manufacturing, using IA. Real implementation of these innovative solutions to assess their validity in a real production situation. Propose a real implementation of an innovative solution to the above mentioned problems.

The inclusion dimension will be addressed indirectly by helping to solve problems that nowadays are very physically demanding for the human workers. The current situation in problems such as the Bin Picking is that, although some approaches exist to ease this operation, in the real world, industrial workers have to pick manually parts for machine tending. This parts can be particularly heavy. By apporting intelligent automatic solutions to industrial problems, the role of the shopfloor workers will change, preventing injuries, accidents, dedicating their work to other healthier activities. In the same way people that now has physical limitations to work in industrial manufacturing, will now be able to contribute to industry in different new ways.

Fairness In Machine and Deep Learning Algorithms

Engineering for the Information Society and Sustainable Development

Borja Sanz

D4K

Candidates should have a 1st class degree in computer science, electronic engineering, mathematics or a closely related discipline, with experience and interest in machine learning and computer graphics. Excellent programming skills are required. Excellent written and oral communication skills in English.

• Social Sciences and Humanities (SOC)
• Information Sciences and Engineering (ENG)

The overall objective of the project consists of the study of the different mechanisms applicable for the mitigation of the different biases that occur in the deep learning systems through the expert knowledge that occurs in each of the phenomena of other areas of knowledge. The starting hypothesis is that these algorithms alone are not capable of overcoming these biases. Algorithms, despite being neutral in their conception, suffer from two main problems. The first, like any other system designed by man, tends to prevail some data over others, which can produce certain biases. On the other hand, the very data sets necessary for the training of this type of systems (especially when dealing with areas such as natural language processing or image processing) mean that bias and inequalities are perpetuated, as they are inherent in the data set itself. The construction of a model of reduction of biases in deep learning systems is pursued through the development of new mitigation algorithms based on the knowledge and study of the social sciences field.

● Laorden, C., Galán-García, P., Santos, I., Sanz, B., Nieves, J., Bringas, P. G., & Gómez Hidalgo, J. M. (2014). Negobot: Detecting paedophile activity with a conversational agent based on game theory. Logic Journal of IGPL, 23(1), 17-30. ● Laorden, C., Ugarte-Pedrero, X., Santos, I., Sanz, B., Nieves, J., & Bringas, P. G. (2014). Study on the effectiveness of anomaly detection for spam filtering. Information Sciences, 277, 421-444. ● Sanz, B., Nieves, J., Laorden, C., Santos, I., & Bringas, P. G. (2013). ONLINE SEARCHES: from information recovery to knowledge generation. DYNA 88 (4), 392-394 ● Lorido-Botran, T., Huerta, S., Tomás, L., Tordsson, J., & Sanz, B. (2017). An unsupervised approach to online noisy-neighbor detection in cloud data centers. Expert Systems with Applications, 89, 188-204. ● Bilbao-Jayo, A., & Almeida, A. (2018). Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data. International Journal of Distributed Sensor Networks, 14(11), 1550147718811827.

● Electronic Regional Manifestos Project. Analysis of the political discourse in social networks using convolutional neural networks. ● Aztarnet: Analysis of the online footprint of the companies using opinion mining, emotion classification and social network analysis. ● Toleraction (under evaluation): Text classification to detect hate-speech in social networks to create suitable counter-narratives. ● StandByMe (in preparation): Sexual harassment prevention and awareness by changing attitudes and behavior of young adults. Analysis of the social networks to detect harassment online.

The hosting team is a group integrated by research staff that has expertise with collaborating with other research areas. For example, several proposals are under evaluation with the Deusto Social Values Team, which has obtained on two consecutive occasions the recognition as the team of excellence in the calls of the Department of Education of the Basque Government. The central aim of the group is the analysis of social values, which is focused on two main lines of research: ● Breakdown of society and democracy through the study of political fact and ● Welfare and Social Policy through the study of social inclusion-exclusion processes and intervention systems. On the other hand, there are under evaluation projects with the Center of Applied Ethics of the university, that approaches the problem of trust in a straightforward and precise sequence of steps looking at a variety of actual trust problems, collecting citizens answers, locating biases in public media discourse and suggesting solutions.

It will be analysed when carrying out the corresponding moment.

With a growing understanding the social determinants of the bias in this type of systems, and the complexity of inter-relationships between the processed data, means that the control and identification of these biases cannot be tackled by the computer sciences sector alone—many factors lie within other research fields’ responsibilities. Aligned with the Europe 2020 Strategy and the Basque Country Smart Specialisation Strategy, DEUSTO research blends competitiveness, innovation and technology to tackle challenges for communities, companies and public bodies in the region. Ageing and Well-being, Creative Industries and Cities, Gender dimension, Social Justice and Inclusion and Strengthening Participation are the focus of the 5 Interdisciplinary Research Platforms. Besides, advanced research units contribute to generating knowledge and innovative solutions in the fields of efficient and clean Energy, Industry 4.0 (for example, advanced manufacturing or data analytics), Health and Territory. Collaboration with stakeholders is crucial for Deusto researchers to define research questions promoting social impact, sustainable development, innovative smart city solutions, efficient use of Big Data and well-being.

Europe in a changing world – inclusive, innovative and reflective societies. Still, it is essential to find ways to make equality real in daily life. Our societies undergo socio-cultural changes connected to migration, globalization, democracy crisis that we can either study and act upon or neglect and remain unprepared. Diversity should be seen as a potential rather than a drawback. Moreover, there is potential to improve the implementation of existing policies that tackle these changes on national and European level. There is a need to develop new models and innovative approaches for social inclusion. In this line, the use of machine learning could help to improve all these situations or could make the differences even more significant. This project aims to contribute to reducing all these differences. On the other hand, the Sustainable Development Goals are the blueprint for achieving a better and more sustainable future for all. They address the global challenges we face, including those related to poverty, inequality, climate, environmental degradation, prosperity, and peace and justice. In particular, this project is aligned with SDG 5: Gender equality. By identifying and correcting for gender bias, further automat­ing/augmenting tasks, AI is empowering women for growth and new opportunities.

It will be analysed when carrying out the corresponding moment.

Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors. Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).

It will be analysed when carrying out the corresponding moment.

Technological instruments govern society. The Information Society is based on access to information and characterized by speed and instantaneity. Thus, the information society is categorically conditioned by electronic devices or ICT (information and communication technologies). One of the hardest problems that we have found in the last years is the vast amount of data that is necessary to train the system. We are working in several hybrid approaches to reduce the needs of this amount of data. The main goal is to integrate prior knowledge to the models, also reducing the biases of the system. And finally, we want all these technologies to be in real life. In particular, we have been working closely with human sciences researches, using machine learning as a help tool to mitigate some problems of society. We have been working with different social agents using these techniques to improve the research (e.g., terrorist activity in social networks, human trafficking, etc.).

The ethics of artificial intelligence are of growing importance. Artificial intelligence (AI) is changing societies and economies around the world. Principles like privacy protection, the fairness, transparency, accountability and explainability (among other aspects, like legal and regulatory compliance) will be critical elements that will define the way that these systems will impact in the society. Artificial intelligence holds enormous potential to improve the community. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles). But all these benefits come with risks. All these systems can limit issues associated with human bias. To mitigate these problems, we have to use the existing ethics in context, not reinvented, and it is necessary to create systems that ensure that fit with all the principles beforementioned. To ensure these new principles is essential to understand how all these systems work, how they make their predictions, but also understand what the social and ethical implications of the outputs of these systems are. It will be necessary to develop countermeasures to remove (or at least mitigate) the problems.

One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.

Big Data Streaming algorithms applied to industrial real time data

Engineering for the Information Society and Sustainable Development

The scientific in charge of this proposal, Iker Pastor López, holds a PhD degree in Computer Systems, obtained in 2013, with research focused on computer vision algorithms applied to iron castings surface recognition. For the last 10 years he has been focused on research projects that comprise computer vision, artificial intelligence, process optimization and Big Data, applied to wide range of industries like iron and aluminium foundries, retail or cybersecurity among others.

D4K, University of Deusto, Faculty of Engineering

Applicants for positions must hold an MsC degree in Computer Science, Electronics, or Automation Engineering. Experience interfacing IIoT and other industrial devices such as PLC will be valued. Advance Knowledge of statistics and programming using Python or R Fluency in English (understanding, speaking and writing) and ability to work in a team and collaborate with people in complementary disciplines

• Information Sciences and Engineering (ENG)

Industry 4.0 seek to carry out tasks in unstructured environments just as a human worker would do in a similar situation. Adaptability of the production systems and rapid adoption of new conditions are among the most important advancements that this new paradigm is bringing to the manufacturing companies. This flexibility, adaptability and productivity leads to a much more complex situations in terms of engineering processes. Because of this, the artificial intelligence (AI) plays a fundamental role in the new industry 4.0. The data sources are growing up with the IIoT paradigm in which all the devices within the manufacturing plants. Also, the development of faster networks allows the development of more complex protocols in order to enable big streams of data. Data streaming applications, need a advanced processing of data using Artificial Intelligence. The applicant will consider advanced scenarios in industry, using advanced Artificial Intelligence techniques to obtain a solution for several problems present on them. Specifically the research will involve: Development of new machine learning algorithms for industrial data streaming applications. An example could the use of edge computing paradigm. Reenginer of AI algorithms in order to apply to data streaming problems. Integration of these algorithms in a real industrial hardware/software.

Laorden, C., Galán-García, P., Santos, I., Sanz, B., Nieves, J., Bringas, P. G., & Gómez Hidalgo, J. M. (2014). Negobot: Detecting paedophile activity with a conversational agent based on game theory. Logic Journal of IGPL, 23(1), 17-30. Laorden, C., Ugarte-Pedrero, X., Santos, I., Sanz, B., Nieves, J., & Bringas, P. G. (2014). Study on the effectiveness of anomaly detection for spam filtering. Information Sciences, 277, 421-444. Sanz, B., Nieves, J., Laorden, C., Santos, I., & Bringas, P. G. (2013). ONLINE SEARCHES: from information recovery to knowledge generation. DYNA 88 (4), 392-394 Lorido-Botran, T., Huerta, S., Tomás, L., Tordsson, J., & Sanz, B. (2017). An unsupervised approach to online noisy-neighbor detection in cloud data centers. Expert Systems with Applications, 89, 188-204. PASTOR-LÓPEZ, Iker, et al. Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation. En International Conference on Hybrid Artificial Intelligence Systems. Springer, Cham, 2019. p. 745-757.

VESSEDIA:Verification Engineering of Safety and Security Critical Dynamic Industrial Applications (H2020 – 352.125€) HORUS: Hornos de recalentamiento inteligentes para procesos siderúrgicos competitivos y sostenibles (CIEN – 122.890€) BRAINCONTAIN: Contenedor inteligente para la gestión de la materia prima en plantas manufactureras (Bizkaia Digital: Internet Industrial – 26.740€) FIPS: Future Intelligent Production System (Privado U.S Navy – 137.000€) NewCalip: Diseño y desarrollo de una nueva generación de mordazas (Gaitek – 20.000€) SIAISAE: Sistema Inteligente y adaptativo de información de seguridad y administración de eventos (Hazitek 40.000€) Noot: Diseño y desarrollo de nuevas carcasas de reductora para el sector del ferrocarril (Gaitek – 5.000€) PRINT: Nueva plataforma para la monitorización y control predictivo inteligente en la industria (Etorgai – 385.800€) “Self Governing Process” – Integración de tecnologías de auto-gobierno en procesos inteligentes de fabricación (Basque Industry 4.0 – 100.000€)

The hosting team is a group integrated by research staff that has expertise with collaborating with other research areas. For example, we are currently working in collaboration with the Faculty of Psychology and Education of the University of Deusto to detect gambling problems in the users of EKASA platform. During this project, we started to identify conduct patterns that reflects real gambling problems. The goal of the project is to prevent the evolution of ths this type of problems beforehand. Furthermore, and given the importance of IIoT and wireless sensor networks, the hosting team has knowledge about:

It’s not planned

It will be analysed when carrying out the corresponding moment

The University of Deusto has collaborators in the academic and industrial fields in multiple regions of Europe and Spain. In particular, D4K research group maintains relationships with various research groups in Europe, like Secure Business Austria, member of the international knowledge network iSecLab, a group with a high degree of impact on computer security with researchers of the highest level in the area such as Christopher Kruegel, Giovanni Vigna, Ulrich Bayer or Ergin Kirda. Besides has contacts with the University of Bergamo, to which two of them have attended. In addition, the director of his security department, Stefano Paraboschi, was co-director of Dr Pablo García Bringas’ thesis. He also collaborates in the organization of international congresses with the TU University of Vienna through A Min Tjoa, Gabriella and Roland Wagner; and with the Dipartimento di Tecnologie Informazione of the University of Milan directed by Pierangela Samarati. DeustoTech also collaborates closely with large leading and pioneering companies in various sectors such as Telefónica or Philips, or innovative research centres, like CERTH (Hellas), Fondazione Bruno Kessler (Italy), VICESSE (Austria), or University of Granada (Spain).

It’s not planned

Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors. Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).

It will be analysed when carrying out the corresponding moment

There is an optimal alignment with the Smart Specialization Strategy of the Basque Country (RIS3), that considers the Smart Manufacturing a top priority. More specifically, within the Smart Manufacturing this project is encompassed in the multi-sectorial and the, as it focuses on the data streams within the manufacturing plants. As well, a special emphasis will be given to other cross industries (inside the RIS3 of the Basque Country).

The applications of artificial intelligence are growing importance. Specifically, Artificial Intelligence is changing societies and industries around the world. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles)

The University of Deusto is fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. Faculty of Engineering, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.

SOFC-model: Modelling and optimization of SOFC cells in the agroindustry sector

Engineering for the Information Society and Sustainable Development

Dr. Ainhoa Alonso Vicario https://energia.deusto.es/people/members/ainhoa-alonso-vicario/

DeustoTech (www.deustotech.eu) is a private non-profit institution of the Faculty of Engineering at the University of Deusto for applied research in new technologies. Since 2005 DeustoTech mission is to support the ICT activity in business and society through research, the development of technologies, innovation and knowledge transfer. We focus our activity around TRLs 2-7 and articulate it into four applied fields: Industry, Mobility, Energy and Society, having a fifth, the Chair of Applied Mathematics, as a transversal activity and support for the previous four. We are characterized for working with data of heterogeneous nature, throughout its life cycle and in compliance with ethical principles and humanists who define the University of Deusto. The Host Research Unit counts with a consolidated team leading research in environmental sector, including sustainability, resource efficiency and circular economy.

We are looking for a candidate with a Science bachelor or engineering with knowledge on modelling techniques based on the use of artificial intelligence. We would also appreciate recognisable experience in research tasks (collaborations with scientific groups, participation in international conferences, publication of research articles, etc.).

• Information Sciences and Engineering (ENG)
• Environmental Sciences and Geology (ENV)

Some crops as tomatoes have a strong demand on energy as they have to keep the temperature around 20-23 ºC. This mean that in winter they need to heat (normally using oil boilers) and in summer to cool especially in the south of Spain (normally using an industrial heat pump) . Moreover, they also have some relevant electric loads to keep the optimal points in radiation and humidity, lumps and water pumps, respectively. In overall the energy demand supposes over 50% of the total costs of the greenhouse. So, the optimization of the energy demand will have a huge impact in the food costs as well as to improve the food security of some parts of Europe. On the other hand, small producers have a lack of competitiveness due to high cost of this technologies. So, alternative more efficient and low costs distributed technologies will contribute to the rentability of this sector. In this context, the aim of this thesis proposal is to analyse the benefits and possibilities of using SOFC cells as a more efficient and sustainable decentralised and integral solution for the agroindustry sector. To this end, artificial intelligence techniques will be used to model and optimize the SOFC cells according to the needs of the greenhouse considering aspects such as: costs of the energy and crops, degradation of the cell or the environmental impact.

Sorrosal, G., Irigoyen, E., Borges, C.E., Martin, C., Macarulla, A.M., Alonso-Vicario, A. Artificial neural network modelling of the bioethanol-to-olefins process on a HZSM-5 catalyst treated with alkali (2017) Applied Soft Computing Journal, 58, pp. 648-656. Kamara-Esteban, O., Sorrosal, G., Pijoan, A., Castillo-Calzadilla, T., Iriarte-Lopez, X., Macarulla-Arenaza, A.M., Martin, C., Alonso-Vicario, A., Borges, C.E. Bridging the Gap between Real and Simulated Environments: A Hybrid Agent-Based Smart Home Simulator Architecture for Complex Systems (2017) Proceedings – 13th IEEE International Conference on Ubiquitous Intelligence and Computing Kamara-Esteban, O. Pijoan, A., Alonso-Vicario, A., Borges C.E. On-demand energy monitoring and response architecture in a ubiquitous world (2017) Personal and Ubiquitous Computing, 21, pp 537-551 Sorrosal, G., Borges, C.E., Holẽa, M., Macarulla, A.M., Martin, C., Alonso-Vicario, A. Evolutionary dynamic optimization of control trajectories for the catalytic transformation of the bioethanol-to-olefins process using neural networks (2016) GECCO 2016 Companion – Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 133-134. Ruiz, P., Sorrosal, G., Borges, C.E., Macarulla, A.M. Modelling a biomass boiler using an artificial neural network (2016) 28th European Modeling and Simulation Symposium, EMSS 2016, pp. 296-302.

1. H2020 – WASTE WASTE4THINK (Moving towards Life Cycle Thinking by Integrating Advanced Waste Management Systems) – GA 688995. UDEUSTO coordinates this project with the main objective of moving forward the current waste management practices into a circular economy motto, demonstrating the value of integrating and validating several eco-innovative solutions that cover all the waste value chain. 2. Biotrans: Herramientas de Nueva Generación para la Intensificación de Procesos de Transformación de Biomasa. Basic and Applied Research Grants from the Basque Government. 3. W2.0E-Tools to design management strategies for waste-to-energy in the Basque Country (Saiotek program, Basque Government): Deusto developed different tools to design waste management strategies in the Basque Country. 4. H2020 – GREENSOUL (Persuasive Eco-awareness for User Engagement through Networked Data Devices). H2020 – EE – GA 696129: UDEUSTO develops and tests a set of persuasion mechanism to reduce the energy consumption in public buildings. 5. H2020 – ATELIER (AmsTErdam BiLbao cItizen drivEn smaRt cities) – GA 864374. UDEUSTO will, apart of on carry on several actions to foster energy efficiency and the deployment of renewable energy energy sources, perform the environmental monitoring of the project.

The thesis proposal follows an interdisciplinary approach: – Chemical Engineering: design of novel processes for the generation of renewable energy. Experts from NTUA and Graz University will also collaborate in this area – Mathematics and Computer Science: Technological innovation through the use of Artificial Intelligence and Mathematical simulation tools. The main researchers of DeustoTech have a broad experience on soft modelling, robust simulation, etc. Experts from ICS will also collaborate in this area – Distributed Generation: The participation of DeustoTech Research Unit in several projects related to the field, and the relationships established with several energy utilities and experts in agroindustry will encourage the efforts and pursue the fulfillment of the objectives. Their viewpoint will be specially important to assess the impact of this research on agroindustry sector. This interdisciplinarity makes it also specially relevant for the EIP on Raw materials.

A co-direction with the Institute of Thermal Engineering, Graz University of Technology (IWT) will be considered depending on the expertise of the candidate.

The candidate will work on a highly interdisciplinary group where all the previous knowledge will be worked on. The candidate will collaborate with researchers of different background (mathematicians, engineers and chemists) and be in touch with a wide network of institutions from industry sector in order to achieve the objectives of the project in the framework of the AGROSOFC Era-net project.

The proposal will be developed under the project AGROSOFC, a transnational project granted under the ERA-Net Smart Energy System RegSys 2018 call in collaboration with 4 PYMEs and 2 research institutions from Austria and Spain. This collaboration and research activity will pave the way for the participation in new research projects. Some funding opportunities are: ● H2020 topics, societal challenges: The studies and developments of the PhD proposal can be of interest for their application to the following societal challenges. ○ Secure, clean and efficient energy; ○ Climate action, environment, resource efficiency and raw materials; Notice that the continuity of the research activity with a H2020 project will be particularly interesting for the replicability of the results in real (or semi-real) conditions and the approximation of the solutions to the market. ● H2020 topics, excellent science: There are several options to apply for these grants since the research activity proposed has an important component of Excellent Science and the the results are expected to be a real breakthrough in the field. These options are: ○ The European Research Council (ERC) through attractive and flexible funding for talented and creative individuals ○ Future and emerging technologies for collaborative research across disciplines on radically new, high risk ideas ○ Marie Skłodowska-Curie Actions for excellent and innovative research training as well as knowledge-exchange opportunities

A co-direction with the Institute of Thermal Engineering, Graz University of Technology (IWT) will be considered depending on the expertise of the candidate.

The research project has a direct relationship with the following key sectors which are also priorities inside the Research and Innovation Strategy (RIS3) of Euskadi: – Industry 4.0: the industry of the future is going to be characterised by making an efficient use of the resources. In this sense, the use of biofuels is especially important to guarantee the long term health of the sector and minimisation of the environmental impact. – Energy: The energetic sustainability in Europe needs to tackle to specific points: the sustainable use of energy and the smooth transition towards renewable energy sources. The investigation in biofuels will be directly affecting the Europeans way of living across different sectors. In particular, it will be developed under the framework of the AGROSOFC Era-net project in collaboration with several PYMEs and research institutions: • 4ward Energy Research GmbH • VTU Energy GmbH (VTU) • Reiterer & Scherling GmbH (RSG) • Inkoa Sistemas S.L. (Inkoa) • Institute of Thermal Engineering, Graz University of Technology (IWT)

Yes, as it will be developed under the framework of the AGROSOFC Era-net project in collaboration with several PYMEs.

The main results expected are: • To develop models and tools to analyze the flexibility of coupling different subsystems within the agricultural sector • To contribute to increase energy efficiency by integrating SOFC technology as an alternative more efficient, decentralized and flexible in the agribusiness sector • To contribute to reduce the CO2 emissions generated in the sector • To contribute to reduce the production costs with the objective of improving food security in Europe • To contribute to increase competitiveness of the PYMEs in the agroindustry sector The results will be presented to relevant stakeholders as: • Utilities • Producers • Civil associations • Research community • Firms, engineerings and consultancy companies

Approximately 50-60% of production costs in the agricultural industry are due to the needs of energy and heat. In terms of greenhouse gas emissions this sector represents more than 10% of the total emissions generated. This research proposal seeks to reduce the consumption of electricity and heat by 10% through the coupling of loads using Solid oxide fuel cells (SOFC) and decision support tools that allow optimizing both their use and more efficient integral management along with other energy vectors.

One of the University of Deusto key duties is to be fully aware of problems within the institution itself and the society we belong to. For this reason, the project will include specific steps to boost integration and real equality of opportunity for men and women with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.