Doctoral student for the Heidelberg Institute of Global Health (m/f/d)

Heidelberg University Hospital

Germany

August 19, 2021

Description

Doctoral student for the Heidelberg Institute of Global Health (m/f/d)

full- or parttime - JobID: P0025V433

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 PhD student. 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 PhD student 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 PhD student will be expected to publish in high-impact peer-reviewed journals.

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

  • Masters degree with training or experience in machine learning (ideally as applied to computer vision tasks). We will also consider those with a Bachelors degree only if they have relevant training and/or experience. A degree in a health-related subject is not required to apply.
  • Strong coding skills in Python, or other statistical software
  • 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 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.

    Interested?

    Applications will be accepted via e-mail.

    Universitätsklinikum Heidelberg Heidelberg Institute of Global Health Dr. Pascal Geldsetzer Im Neuenheimer Feld 130.3 69120 Heidelberg pascal.geldsetzer@uni-heidelberg.de

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