Veronika Kovzel
Phone: +49 351 260 3231

More Information


For any questions, do not hesitate to ask:
Dr. Michael Bussmann Tel.: +49 3581 37523 11,
+49 351 260 2616
Prof. Dr. Justin Calabrese Tel.: +49 3581 37523 71,
Mrs. Weronika Mazur Tel.: +49 3581 37523 23,
+49 171 3635554
Mrs. Inken Köhler Tel.: +49 3581 37523 10

Place of work:

Working hours:
39 h/week

Online application
English / German
Job-Id: 94/2020 (1015)

The HZDR is committed to equal opportunity employment and we strongly encourage applications from qualified female candidates. We also carefully consider all applications from job candidates with severe disabilities.

Bautzner Landstraße 400
01328 Dresden

Postdoctoral Researcher (m/f/d): Data intensive research on characterization of SARS-CoV-2 testing strategies and infection risk

As member of the Helmholtz Association of German Research Centers, the HZDR employs about 1,200 people. The Center's focus is on interdisciplinary research in the areas energy, health and matter.

The Center for Advanced Systems Understanding (CASUS)  invites applications as Postdoctoral Researcher (m/f/d): Data intensive research on characterization of SARS-CoV-2 testing strategies and infection risk

The position will be available from now. The employment contract is limited until 31.12.2022.

The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. We combine innovative methods from mathematics, theoretical systems research, simulations, data science, and computer science to provide solutions for a range of disciplines - materials science under ambient and extreme conditions, earth system research, systems biology, and autonomous vehicles.

CASUS was jointly founded in August 2019 by the Helmholtz-Zentrum Dresden-Rossendorf, the Helmholtz Centre for Environmental Research, the Max Planck Institute of Molecular Cell Biology and Genetics, the Technical University of Dresden and the University of Wroclaw. CASUS is located in the heart of Görlitz at the border between Germany and Poland. The CASUS start-up phase is hosted by the Helmholtz-Zentrum Dresden-Rossendorf and is financed by the Federal Ministry of Education and Research and the Saxon State Ministry of Science and Art.

The Earth System Science department seeks a postdoctoral researcher focused on development of algorithms for optimizing the timing, location, prioritization and test type/strategy of SARS-CoV-2 testing based on proxy data for individual risk, the distribution of health care services, and basic demographic data. Crucially, these optimizations must be performed under a constraint on the total amount of testing that can be done, which may change over time and by location.

Job Background and Scope:

The successful candidate will be part of a team studying how to optimally deploy limited testing capacity in an emerging epidemic. This position will focus on developing an extensive database of factors correlated with individual risk of infection, such as age, occupation, spatial location, and contact networks. In parallel, the candidate will also build a database quantifying variation in testing rates and strategies, including locations of hospitals, clinics, and other SARS-CoV-2 testing sites in relation to demographic data such as population density and population age structure. These databases will first focus on Saxony, but can subsequently be expanded to the rest of Germany and other countries. Using the latest data science techniques, the successful candidate will analyse these databases to develop efficient proxies for characterizing individual infection risk, and will relate these to variation in testing rates and strategies.


  • Develop a database on individual risk factors, public health resources, and basic demographic information, and variation in testing rates/strategies

  • Analyze this dataset to identify efficient risk proxies to prioritize testing

  • Work with our team to facilitate a coordinated approach to optimizing testing locations and strategies

  • Publish results in academic, peer-reviewed journals

  • Present results at scientific meetings


  • PhD in statistics, data science, data engineering, epidemiology, or a related field

  • A solid background in mathematics, statistics, and data science

  • Excellent programming skills in data science languages such as R and Python

  • Strong motivation to work in a collaborative environment

  • Excellent communication skills in English and in a professional context (presentation of research results at scientific meetings, colloquial discussions, writing of manuscripts).

  • Fluency in German to facilitate interaction with public health authorities and other data holders in Saxony and elsewhere in Germany

  • Evidence of the ability to publish results in top peer reviewed journals

  • Experience in epidemiology is advantageous but is not required

We offer:

  • A vibrant research community in an open, diverse, and international work environment
  • Scientific excellence and extensive professional networking opportunities
  • Salary and social benefits in conformity with the provisions of the Collective Agreement TvöD-Bund
  • 30 vacation days per year
  • Company pension scheme (VBL)
  • A good work/life balance for which we offer assistance in the form of:
    • Possibility to work part-time
    • Flexible working hours
    • In-house health management

Kindly submit your completed application (including cover letter, CV, diplomas/transcripts, etc.) only via our Online-application-system.

Online application English / German