The University of Luxembourg (UL) invites applications for two postdoc positions (m / f) to work on the project Cognitive Aging : From Educational Opportunities to Individual Risk Profiles’ funded by the European Research Council (2019-2023).
Postdoc (m / f) in Epidemiology, Population Health or related fields.
Ref : 50013954 / 50014059
Fixed-term contract 24 months , renewable up to 12 / 2023,
Full time (40 hours / week)
Framework : *
Cognitive impairment and dementia have dramatic individual and social consequences, and create high economic costs for societies.
At the moment, no large-scale low-cost risk scores are available that can reliably predict cognitive evolution on an individual level.
The project will quantify the ability of singular and clustered individual characteristics, such as behavioural profiles, to predict cognitive aging and dementia diagnosis.
Further, with novel study designs, the project aims to contribute to a better understanding of the benefits and limitations of lifestyle interventions to delay cognitive aging and dementia.
The project will apply recently developed causal inference frameworks in observational studies. Part of the project will also include the application of supervised machine learning approaches on different large-
scale international aging surveys with individual-level longitudinal data.
Your Profile : *
PhD in Epidemiology, Population Health, Biostatistics or related fields
Strong methodological / statistical skills
Willingness to learn and apply a selection of supervised machine learning techniques
Programming skills (Stata, R or Python)
Fluency in English language
Strong ability to work both independently and as part of a team
Your Role : *
Contribute to the project’s research on cognitive aging and dementia
Apply recently developed causal inference tools to observational data
Conduct statistical analyses and prepare papers for publication in leading international peer-reviewed journals
Disseminate findings at conferences and meetings
What we offer : *
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
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.
Further Information : *
All applications need to be sent through the online submission system via link below. Please upload the following documents in PDF format :
Curriculum Vitae with list of publications
Motivation letter (1-max. 2 pages) detailing your interest to contribute to the CRISP project
Contact details of two persons with full name and institution that can be approached as referees
Copies of diplomas or transcripts with grades if issued in a language other than English, French or German.