Contribute to the project’s research on cognitive aging and dementia
Use recent machine learning approaches in combination with causal inference tools for observational data
Conduct and prepare statistical analyses for publication in leading international peer-reviewed journals
Disseminate findings at conferences and meetings
The ERC StG project CRISP (grant no. 803239, PI : Assoc. Prof. Anja Leist) Cognitive Aging : From Educational Opportunities to Individual Risk Profiles’ is an interdisciplinary project located in the Social Sciences.
Please contact Anja Leist (anja.leist uni.lu) in case of further questions.
Strong methodological background (data science, machine learning)
Strong programming skills (expert knowledge in R or Python)
Fluency in English language
PhD with strong methodology / statistics training, ideally in combination with some higher education in Social Sciences, Population Health, Epidemiology, or related fields
Prior experience with causal inference frameworks will be considered an asset
Strong ability to work both independently and as part of a team
A position in a highly visible research project at the frontiers of knowledge in the field of social sciences and dementia
Opportunities for further training, international mobility, career development and participation in international conferences
Opportunities to contribute to and collaborate with members of the computational and data science’ research priority across faculties / centres at UL
A multi-disciplinary, international, well-equipped work environment
Gender policy : UL is an equal opportunity employer. Women are explicitly encouraged to apply.