Data Science Researcher for Health and Wellbeing

Data Science Researcher for Health and Wellbeing

María Begoña García Zapirain https://scholar.google.es/citations?user=QXTyzAcAAAAJ&hl=en

eVIDA is a research group of the University of Deusto committed to research on and development of ICT-based tools, systems and interventions for psychological, social and physical health. Over the last decade, eVIDA has established close working relationships with key local stakeholders including hospitals, charities, other research groups and ICT companies. In the field of ICTs for Wellbeing, eVIDA researches, designs, develops and tests tools and systems which enable disabled people and the elderly to live more independent lives. eVIDA is involved in creating apps and for person-centred care, and various tele-medicine and tele-monitoring systems. In the field of health, eVIDA is specialized in creating diagnostic tools and systems and interventions for people with health. eVIDA is participating in SUNFRAIL project from the 3rd health Program and CATCH ITN Marie Sklodowska-Curie. eVIDA has been awarded the University of Deusto- Banco Santander Research Award in 2007 and the ONCE Euskadi-Solidarios Research Award in 2007. This team is part of various research networks such as the European Network of Livings Labs (ENoLL) and the “Red de Espacios Sociales de Innovación (ESdI)”. http://evida.deusto.es/

The ideal candidate should have specialized through the PhD research and masters in Maths or Mathematical Engineering, Computer Science or Data Science with a strong focus and interest in machine learning, artificial intelligence and deep learning. Fluency in English (C1) is also required as well as skills for the use of Python and other programming frameworks and languages. Requirements: – PhD in a scientific discipline such as Statistics, Mathematics, Computer Science or another quantitative field – Strong background in Computer Vision, Machine Learning and data mining – Deep understanding in ML, including strong knowledge of the mathematical underpinnings behind various methods (e.g. regression techniques, neural networks, decision trees, clustering, pattern recognition, dimensionality reduction) – Experience with Deep Learning frameworks, such as TensorFlow, Keras, Caffe, Torch, Pytorch, etc. – Strong coding skills in Python or C/C++ and/or Matlab, R – High commitment to rapid development, writing quality code, collaboration with colleagues, and conveying a positive attitude. – Fluent spoken and written English (C1)

• Information Sciences and Engineering (ENG)
• Life Sciences (LIF)
• Mathematics (MAT)

The candidate will be working within the framework of eVIDA, one of Deusto´s most active research groups. Several different tasks will be carried out in different projects related with health, wellbeing, artificial intelligence and data science. The main objective will be the creation of predictive models based on artificial intelligence. The specific tasks include: – Cleaning of databases. – Design of pre and post processing algorithms. – Design and validation of Deep Learning algorithms applied to socio-sanitary databases. – Development of scientific reports.

1. Reviewing Mobile Apps To Control Heart Rate in Literature and Virtual Stores Javier Salvador García, Susel Góngora Alonso, Isabel de la Torre Díez, Begoña Garcia-Zapirain, Cristián Castillo-Olea, Miguel Lopéz Coronado, Javier Cabo Salvador Journal of Medical Systems https://doi.org/10.1007/s10916-019-1202-z IF: Q2 2.Frailty level monitoring and analysis after a pilot six-week randomized controlled clinical trial using FRED exergame including biofeeback supervision in elderly day care centre Iranzu Mugueta-Aguinaga, Begoña Garcia-Zapirain International Journal of Environmental Research and Public Health https://doi.org/10.3390/ijerph16050729 IF: Q2 3. Detection of Volatile Compounds Emitted by Bacteria in Wounds using Gas Sensors Carlos Salinas Alvarez , Daniel Sierra-Sosa, Begonya Garcia-Zapirain, Deborah Yoder-Himes, Adel Elmaghraby MDPI Sensors Publication https://doi.org/10.3390/s19071523 IF: Q2 4. Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature Isabel de la Torre Díez, Begoña Garcia-Zapirain, Susel Góngora Alonso Journal of Medical Systems. IN PRESS IF: – 5. Summarizing videos into a target language: methodology, architectures and evaluation. Kamel Smaïli, Dominique Fohr, Carlos GonzÁlez-Gallardo, Michal Grega, Lucjan Janowski, Denis Jouvet, Arian KozbiaŁ, David Langlois, Mikolaj Leszczuk, Odile Mella, Mohamed-Amine Menacer, Amaia Mendez, Elvys Linhares Pontes, Eric Sanjuan, Juan-Manuel Torres-Moreno and Begoña Garcia-Zapirain JIFS . IF: IN PRESS

The future researcher is going to work with the ongoing projects under AAL and other frameworks, and the presentation of new ones, all under the two main objectives of the eVida group.

– ICTs – Data Science – Health – Wellbeing – Engineering

Interdisciplinarity is key for eVIDA and for the offered position. Two main areas lie in the core of this group: ICTs and health. Apart from these two, the candidate will be working with different methodologies from engineering and social sciences. eVida collaborates with experts from different fields and backgrounds, including doctors, nurses, anthropologists, psychologists and scholars.

eVIDA and, consequently, the job offer, have a close relationship with several policies at the regional, national, and overall European and international levels. Amongst the priorities of H2020, the European Approach to Artificial Intelligence and the Big Data and Data Science calls are the two main related areas where the candidate will work. Most of the tasks will be developed under the framework of AAL calls as conceived by the European Commission. These calls entail the creation of international networks and the inclusion of different methodologies. Other projects are framed under the Basque Government’s policies for health, including oncology and initiatives coming from foundations or public institutions.

The University of Deusto has an extensive network of collaborators that not only extends to the direct connections of the university, but also to those of the international team members and partners that work together with eVIDA in the different calls. Amongst the research group´s main stakeholders there are several hospitals, companies, institutions and foundations. Some examples are Georgetown University (USA), Fundación Sindrome de Down (ES), Mayo Clinic (USA), IMQ (ES), etc.

Many of the University of Deusto´s previous projects have evolved and turned into successful businesses, be them in the form of entrepreneurship or products for already established companies. Others have become relevant research projects, uptaken even after the established timeframe and developed into PhD theses or dissemination initiatives. eVIDA is focused on creating a real impact for the society, and as such, the projects are not forgotten once the deadline is over, instead, they become real products or concepts that affect the daily life of many citizens, especially seniors and disabled people.

eVIDA is committed to the creation of international and multidisciplinary teams. For this reason, most of its members come from different countries including France, Morocco, Pakistan, Russia, Brazil, Ireland, Germany, etc. This is an innovative aspect of the offer that follows the line of other prestigious knowledge hubs abroad. The candidate will also use the newest concepts and technologies to improve the already existing processes and achieve innovative results. The development of new techniques and solutions for the wellbeing of elderly and disabled people implies a constant connection with the latest trends. All eVida´s projects are based on bringing unexplored solutions to the academic and economic markets.

The University of Deusto and specially eVIDA have a commitment with inclusion and equality of opportunities. For this reason, the aim of inclusion of all genders and sexual orientations, people with diverse capacities and vulnerable groups in general, will not only be true for the selection process, but also for the working environment; where everyone collaborates to create a welcoming atmosphere for everybody.