PhD candidate in AI and cognitive sciences

About the FHSE

The is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences.

People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society.

Your role

We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines.

Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind.

Your main tasks, as a PhD candidate, are the following :

• Conduct rigorous, state-of-the-art, innovative research in Computational Cognitive Sciences
• Review the scientific and technical literature
• Publish and present research outputs at international conferences
• Participate in a dedicated training plan (PhD requirement)
• Contribute to various activities (e.g., research, admin, outreach) within the research group, the department or university
• Engage in collaborative work (e.g., supporting others and asking for support when needed)
• Optionally, the PhD candidate may have the opportunity to participate in teaching and student supervision