Fairness In Machine-Learning Algorithms
Candidates should have a Ph.D. in a related subject, and preferably have published high-impact journals and at the top computer architecture and/or machine learning conferences. Basic knowledge of: Scientific computing (Python/C++/Matlab)
- Information Sciences and Engineering (ENG)
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. Applied Machine Learning and Data Analytics research area is focused in the improve of the machine and deep learning technique, with the focus in sentiment analysis detection in text, data pre-processing, data gathering and clustering. We have also expertise in artificial vision.