2 Postdoc positions: Quantitative Social Sciences/Social Data Science 1051 views

The University of Luxembourg (UL) invites applications for postdoc positions (m/f) at the Institute for Research on Socio-Economic Inequality. The Postdoc (m/f) position is in Quantitative Social Sciences/Social Data Science. The postdocs will contribute to the success of the project ‘Cognitive Aging: From Educational Opportunities to Individual Risk Profiles’ funded by the European Research Council (2019-2023).

Duration: Two-year fixed-term contract, renewable to a total of five years, full-time (40h/week)

Role and responsibilities:

• 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

Requirements:

• 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

Applications:

All applications to be submitted via the online system and upload the following documents in PDF format:

• CV with list of publications
• Motivation letter (1-max. 2 pages) detailing the 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
• Applications will be considered until two positions are filled. Applicants will be informed in due course if their application has been shortlisted or not.
• Shortlisted applicants will be invited for an interview on site or via video conference call.