Postdoctoral Researcher in Mortality Inequalities among Adults in Low- and Middle-Income Countries

1 month ago


Odense, Odense Kommune, Denmark Syddansk Universitet (SDU) Full time

About the Project

The Danish Centre for Health Economics (DaCHE) and the Danish Institute for Advanced Study (DIAS) at the University of Southern Denmark seek a postdoctoral researcher to join the Harmonised Approach for Measuring Mortality Inequalities among Adults in Low- and Middle-Income Countries (HARMONIA) project. This project aims to address the knowledge gap in adult mortality inequality in low- and middle-income countries.

Project Background

Reducing inequalities within populations is a key global priority, as set forward in the Sustainable Development Goal (SDG) target 10.3. Despite the fact that 80% of the world's adult population live in low- and middle-income countries, there is a lack of knowledge on the levels, trends, and drivers of adult mortality inequality. HARMONIA will apply three innovative methods to data sources previously not utilized in systematically measuring adult mortality inequalities.

About the Position

The successful candidate will be embedded in DaCHE and DIAS, two vibrant and international research communities at SDU. They will interact regularly with international collaborators at the Institute for Health Metrics and Evaluation, Erasmus School of Economics, University of Bergen, and Harvard University.

Key Responsibilities

  • Leading the work on small area analyses, including collecting and analyzing datasets, and providing research outputs.
  • Writing research papers targeted at internationally recognized peer-reviewed journals.
  • Disseminating research results through research papers, academic blogs, international conferences, workshops, and outreach activities.
  • Participating in regular project meetings.
  • Supporting the PI in project-related matters.
  • Participating in the intellectual life at SDU.

Selection Criteria

  • A PhD degree in economics, health economics, epidemiology, demography, or a related quantitative discipline.
  • Experience conducting small area analyses or geospatial analyses.
  • Ability to work independently as well as in a team environment and have strong communication and writing skills.
  • Excellent programming skills in R or Python.
  • Experience working on global or regional studies is desired.


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