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Postdoctoral Researcher for the Heidelberg Institute of Global Health (m/f/d)

full- or part-time - JobID: P0025V189

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 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 researcher. While it would be desirable for the researcher to have experience working with geospatial data, this is not strictly required to apply. 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

Under the guidance of Dr. Pascal Geldsetzer and other researchers at Heidelberg University (including the Geography Institute) and Stanford University, the researcher will analyze and map household survey data as well as data on the location of healthcare facilities. In addition, we will use existing analytical tools to determine travel time to the next healthcare facility and/or optimize the placement of health posts. The broad aim of these analyses is to improve the targeting of healthcare efforts in low- and middle-income settings and the micro-planning as well as monitoring and evaluation of health campaigns. The postdoc will be expected to publish in leading peer-reviewed journals.

The postdoctoral fellow will have the opportunity to co-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.

The salary is paid according to the German TV-L system (the salary agreement for public service employees). 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.

Prerequisites
  • Doctoral degree with quantitative training or quantitative research experience. We will also consider those with a Masters degree only if they have relevant training and/or experience. A degree in a health-related subject or geography is not required to apply
  • Experience coding in R or other statistical software programs (e.g., Python, Stata, or SAS)
  • Good communication skills in English (knowledge of German is not necessary)
We offer
  • 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. university sports)
Contact & Application
Please apply by sending a cover letter and CV to Pascal Geldsetzer at pascal.geldsetzer@uni-heidelberg.de. Please apply as early as possible because applications will be reviewed on a rolling basis.

Interested?

Applications will be accepted until July 31st, 2020 via e-mail.

Universitätsklinikum Heidelberg
Heidelberg Institut for Global Health
Dr. Pascal Geldsetzer 
Im Neuenheimer Feld 130.3
69120 Heidelberg
Tel.: +49 6221 56-5040
pascal.geldsetzer@uni-heidelberg.de

Published: April 09th, 2020

Wir stehen für Chancengleichheit. Schwerbehinderte werden bei gleicher Eignung vorrangig eingestellt. Das Universitätsklinikum strebt eine generelle Erhöhung des Frauenanteils in allen Bereichen und Positionen an, in denen Frauen unterrepräsentiert sind. Qualifizierte Frauen sind daher besonders aufgefordert, sich zu bewerben. Vollzeitstellen sind grundsätzlich teilbar, soweit dienstliche oder rechtliche Gründe nicht entgegenstehen.

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