Postdoctoral researcher for the Heidelberg Institute of Global Health
full- or parttime - JobID: P0025V431
at the earliest possible date searched for, the Heidelberg Institute of
Global Health (HIGH).
The position is limited to 3 years, with the possibility of an extension. The
salary is paid according to the German TV-L system (the salary agreement for
public service employees).
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 an outstanding postdoctoral research fellow. The researcher will work
under the mentorship of Dr. Pascal Geldsetzer and receive a designation as
visiting researcher at the Stanford University School of Medicine.
Tasks and responsibilities
The postdoctoral fellow will work under the guidance of Dr. Pascal Geldsetzer
and other researchers at both Heidelberg University and Stanford University,
including both population health researchers and computer scientists. The
researcher will help with expanding the group's dataset for analysis, as well
as building and evaluating convolutional neural networks. The broad aim of
this research is to test whether satellite imagery along with other geo-
referenced publicly available data (e.g., data from OpenStreetMaps, climate
and weather variables, and infrastructure-related variables) could be used to
monitor important health indicators in low- and middle-income countries at a
highly granular geographic and temporal level. In addition to this core
project, the research group works on a wide variety of research, with foci
being medication effectiveness, health services research, and population
health issues. The fellow will be expected to publish in high-impact peer-
The postdoctoral fellow will have the opportunity to supervise PhD, Master and
Dr. med (thesis as part of medical studies in Germany) students. The fellow
will also have the opportunity to teach as part of the institute's Masters and
doctoral program but will not be required or expected to do so.
As an equal opportunity employer, the HUK is committed to increase the
percentage of female scientists and, therefore, especially encourages female
researchers to apply. Equally qualified applicants with disabilities will be
given preference. Candidates from any nationality can apply.
We are open to discussing options for part-time work or working remotely.
Doctoral degree with training or experience in machine learning (ideally
as applied to computer vision tasks)
Strong coding skills in Python, or other statistical software
Good communication skills in English (knowledge of German is not
Target-oriented individual further education and training opportunities
Targeted training on the job
Ticket for public transport
Possibility of child care (crèche and kindergarten) as well as subsidy
for holiday care for school children
Active health promotion
Company pension scheme
Access to the university library and other university facilities (e.g.
Contact & Application
Please apply by sending a CV to Pascal Geldsetzer at pascal.geldsetzer@uni-
heidelberg.de. A cover letter is not required. There is no specific deadline
for the application – we hire on an ongoing basis.
Applications will be accepted via e-mail.
Heidelberg Institute of Global Health
Dr. Pascal Geldsetzer
Im Neuenheimer Feld 130.3