Tag: Demography

Postdoc Position(s) at the Max Planck – University of Helsinki Centre for Social Inequalities in Population Health

The Max Planck – University of Helsinki Center for Social Inequalities in Population Health is currently seeking to appoint one or more full-time post-doctoral researchers. We welcome applications from researchers with a PhD in demography, sociology, statistics, epidemiology, public health, biology, anthropology, economics, computer science, and allied fields. The successful candidate(s) will work on the role of genetic factors in shaping health inequalities, and/or they will develop novel techniques for leveraging genetic data. We are also open to applicants interested in the other research themes of the Center (family and health, health inequalities in an international perspective), and in other topics covered in the Department Social Demography at the Max Planck Institute for Demographic Research (MPIDR), including fertility, mortality and morbidity, and labor markets. The successful candidate(s) will develop their own agenda within the Center, and they will contribute their skills and knowledge to other projects in the Center and to the MPIDR. We are seeking creative, self-driven, and collaborative scholars. Advanced knowledge of quantitative methods and statistical software such as R, Python, or Stata is required.

Read the full call at: www.demogr.mpg.de

Workshop: Demystifying machine learning for population researchers. November 5-6, Rostock, Germany

Advances in computational power and statistical algorithms, in conjunction with the increasing availability of large datasets, have led to a Cambrian explosion of machine learning (ML) methods. For population researchers, these methods are useful not only for predicting population dynamics but also as tools to improve causal inference tasks. However, the rapid evolution of this literature, coupled with terminological disparities from conventional approaches, renders these methods enigmatic and arduous for many population researchers to grasp.

This workshop on November 5 to 6, 2024 at the Max Planck Intsitute for Demographic Research (MPIDR) in Rostock, Germany, clarifies the goals, techniques, and applications of machine learning methods for population research. The workshop covers

  • an introduction to ML methods for population researchers,
  • showcases of ML applications to answer causal questions,
  • discussions of the current developments of ML for population health, fertility and family dynamics, and
  • fosters critical discussions about the shortfalls of these techniques.

The main focus of this workshop is on ML techniques using quantitative population data and research questions, not on ML language models. The workshop consists of keynotes, contributed sessions, and a tutorial.

More at: www.demogr.mpg.de

MPIDR – W2 Research Faculty Position (equivalent to Associate Professor) in the Lab of Digital and Computational Demography

The MPIDR is recruiting a highly qualified Research Faculty (W2 level, equivalent to Associate Professor in the German academic system) to join the Lab of Digital and Computational Demography .

Source: www.demogr.mpg.de