Postdoc in Quantitative Social Sciences/Social Data Science 640 views

The University of Luxembourg (UL) invites applications for a Postdoc position (m/f) in in Quantitative Social Sciences/Social Data Science at the Institute for Research on Socio-Economic Inequality.

Duration: Two years; fixed-term contract; renewable to up to three years

About the position and project:

• The postdoc 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).
• The project will quantify the ability of singular and clustered individual characteristics, such as indicators of behaviour change, to predict cognitive aging and diagnosis of dementia.
• The successful candidate will apply non-parametric supervised machine learning approaches on different large-scale individual-level longitudinal data of international aging surveys, in order to identify risk profiles that are predictive of cognitive decline and/or dementia.

Requirements:

• Applicant must possess strong methodological background (data science, machine learning); programming skills (expert knowledge in R or Python)
• Applicant must possess fluency in English language
• Applicant must hold PhD with strong methodology/statistics training, in combination with some higher education in Social Sciences, Population Health, Epidemiology, or related fields
• Applicant with prior experience with causal inference frameworks would have an advantage.

Applications:

Apply online and 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