| Date & time | Nov 15 '21 |
| Ends on | Nov 22 '21 |
| Location | Place de l'Université, Esch-sur-Alzette, L-4365 |
| Creator | gwaters |
| Category | call |
Post-doc position in Explainable Artificial Intelligence
TheUniversity of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.
The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.
Funded by the Fonds National de la Recherche Luxembourg in the framework of CHISTERA multi-lateral research program, the AI Robolab (a social robot lab at the computer science department of the university of Luxembourg) hires a post-doc researcher in the EXPECTATION (CHIST-ERA) project. The project involves partners from Switzerland, Turkey, Italy, and Luxembourg, and is mainly interested in developing novel XAI mechanisms. Explainable AI (XAI) has recently emerged proposing a set of techniques attempting to explain machine learning (ML) models. The recipients (explainee) are intended to be humans or other intelligent virtual entities. Transparency, trust, and debuging are the underlying features calling for XAI. However, in real world settings, systems are distributed, data are heterogeneous, the “system” knowledge is bounded, and privacy concerns are subject to variable constraints. Current XAI approaches cannot cope with such requirements. One aim of this project is to address this limitation.
Your Role
Our Offer...
Applications in English should include:
Early
application is highly encouraged, as the applications will be processed
upon reception. Please apply ONLINE formally through the HR system.
Applications by email will not be considered.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
For further information concerning this position, please contact Dr. Amro Najjar ([email protected]) or Professor Leon van der Torre ([email protected]).
The Wall