Contact

Nicole Seifert

n.seifertAthzdr.de
Phone: +49 351 260 2083
Fax: +49 351 260 12083

More Information

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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:
Görlitz

Working hours:
39 h/week

Online application
English / German
Job-Id: 93/2020 (1014)

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.

Helmholtz-Zentrum
Dresden-Rossendorf
Bautzner Landstraße 400
01328 Dresden

Postdoctoral Researcher (m/f/d): Algorithm for development constrained spatio-temporal optimization of SARS-CoV-2 testing strategies

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): Algorithm development for constrained spatio-temporal optimization of SARS-CoV-2 testing strategies

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-Rassendorf 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 SARSCo V-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 (m/f/d) will be part of a team studying how to optimally deploy limited testing capacity in an emerging epidemic. This position will focus on developing optimization algorithms for informing policies on how to most efficiently use limited testing resources in an emerging epidemic to accurately characterize spatial-temporal disease prevalence. These algorithms will leverage an extensive dataset on risk factors, health care services, and demographics, as well as parameterized spatio-temporal epidemiological models, both of which will be developed by other team members. The initial focus will be on the state of Saxony in Germany, with subsequent expansion to the rest of Germany and possibly other countries.

Tasks:

  • Develope constrained optimization algorithms that prioritize which individuals, locations, and strategies should be focal points for testing

  • Evaluate and refining the optimization algorithms against a broad array of model-generated epidemic scenarios

  • Implement the algorithms in software that will form the foundation for an open webportal for test policy optimization

  • 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

Requirements:

  • PhD in computer science, numerical methods, statistics, or a related field

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

  • Excellent programming skills in 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, preparation of manuscripts)

  • 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
  • The employment contract is limited to three years with the possibility of longer-term prospects
  • 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