Postdoctoral Fellowship: Visiting/Exchange fellowship with the Institute of Global Health at Heidelberg University

Fellowship description

The Institute of Global Health at Heidelberg University, Germany’s oldest university and a leading hub for health-related research in Europe, is looking for outstanding postdoctoral researchers for three specific fellowship programs. The researcher will work under the mentorship of Dr. Pascal Geldsetzer and receive a designation as visiting postdoctoral research scholar at the Stanford University School of Medicine.

1. Deep learning in satellite imagery to improve monitoring of global health indicators

For this fellowship, candidates should have experience working with convolutional neural networks and, ideally, satellite imagery. The broad aim of the project is to devise novel ways of using machine learning in satellite data for assessments of health indicators in low- and middle-income countries. 

2. Mapping need for healthcare in low- and middle-income countries

This project aims to create extremely-high-resolution maps of unmet need for care and travel time to the nearest healthcare facility using a combination of household survey data, population estimates from the facebook Connectivity Lab, and OpenStreetMaps. Candidates would ideally have experience working with geospatial data but we will consider all candidates with a strong quantitative background.  

Note: we are also recruiting pre-doctoral fellows for this project. Click here for more information.

3. Establishing causal effects of medications and other clinical interventions using regression discontinuity in large-scale electronic health record data

In this fellowship, the researcher will analyze large-scale electronic health record data from the United Kingdom and/or the United States. A statistical technique that is of particular interest to us in this context is regression discontinuity. The broad aim of these analyses is to establish the causal effect of commonly prescribed medications and/or clinical interventions on health outcomes, with a key focus being on how these effects differ across a wide variety of patient characteristics. Candidates for this fellowship should have a strong quantitative background.

Note: we are also recruiting pre-doctoral fellows for this project. Click here for more information.

Expectations

The researcher will be expected to publish in leading peer-reviewed journals and will have the opportunity to apply for research grant funding. Funding for global health research, such as through the German Science Foundation, the German Federal Ministry of Education and Research, the European Research Commission, and private foundations, has increased substantially in Germany and is expected to continue doing so in the future. The postdoctoral fellow will have the opportunity to supervise PhD, masters, and MD (thesis as part of medical studies in Germany) students. 

Application requirements

  • Good communication skills in English (knowlege of German is not necessary)
  • Strong quantitative training, including coding skills (e.g., in R or Python) 
  • Note: Applicants need not have completed their doctoral training prior to applying, although training must be completed prior to the start of the fellowship.

 

Application process

Please apply by sending a cover letter (<1 page) and CV to Pascal Geldsetzer at <pgeldsetzer@stanford.edu>. Please apply as early as possible because applications will be reviewed on a rolling basis.