Postdoc in Data Science Applied to Social and Health Research (m/f)
Université du Luxembourg
Luxembourg, Luxembourg
il y a 6j

Your Role

  • 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.

    Your Profile

  • 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
  • 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 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.

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