Applications are invited from qualified and highly motivated students (m/f/d) for a 3.5-year St Andrews–Max Planck PhD studentship in Population Health. The PhD studentship is funded by the University of St Andrews and the Max Planck Institute for Demographic Research (MPIDR).

About the position:
  • The PhD student will be working on social, temporal and/or spatial aspects of infectious diseases (e.g. Covid-19) using individual-level register or survey data and applying advanced quantitative methods.
  • The project will be part of the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS)
  • In the first two years (more precisely 1.75), the successful applicant will be working at the University of St Andrews. They will become a member of the Population and Health Research Group at the School of Geography and Sustainable Development (SGSD), which combines expertise in advanced techniques of demographic, longitudinal and spatial analysis.
  • In the third and fourth year, they will be working in the Laboratory of Population Health at the Max Planck Institute for Demographic.

Requirements:

  • Applicant must hold an excellent master’s degree (distinction or merit in the UK) or the equivalent national qualification in any area of Social and Health Sciences including statistics and applied mathematics.
  • Applications of any background are welcome.

Applications:

Apply online “PhD Geography (Science)” and include the following:

  • Covering letter outlining interest in population health and infectious diseases research and in applying advanced quantitative methods in social and health science research
  • Brief research proposal on population health in one or several countries, which outlines the rationale and context for the proposed study, and data and methods to be used.
—————–Quick Overview————-
Organization University of St Andrews,

Max Planck Institute for Demographic Research (MPIDR)

Country UK. Germany
Fellowship Level Doctoral
Subject areas Social And Health Sciences, Statistics and Applied Mathematics
Fellowship amount Varies
Eligibility Open to all nationalities
Deadline 30th June 2020
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