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 is looking for a postdoctoral researcher interested in developing a data intensive approach to studying: 1) the factors that govern individual variation in infection risk for the novel coronavirus SARS-CoV-2, and 2) variation in testing rates and strategies during the COVID-19 pandemic
Location of work is Görlitz, the working hours will amount to 39 h per week.
The position will be available from now. The employment contract is limited until 31.12.2022.
The Scope of Your Job
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 analyses these databases to develop efficient proxies for characterizing individual infection risk, and will relate these to variation in testing rates and strategies.
What We Offer
Please submit your application (including a one-page cover letter, CV, academic degrees, transcripts, etc.) online on the HZDR application portal:
Review of applications will begin on 24 August 2020, but the position will remain open until filled.
For details please contact:
Dr. Michael Bussmann, Tel.: +49 3581 375 23 11, E-Mail: email@example.com
Prof. Dr. Justin Calabrese Tel.: +49 3581 37523 71, E-Mail: firstname.lastname@example.org
Weronika Mazur, Tel.: 49 3581 375 23 23, E-Mail: email@example.com
Inken Köhler, Tel.: 49 3581 375 23 10, E-Mail: firstname.lastname@example.org
CASUS – Center for Advanced Systems Understanding
Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR)
D-02826 GörlitzContinue reading
|Title||Postdoctoral Researcher (f/m/d): Data-intensive research on characterization of SARS-CoV-2 testing strategies and infection risk|
|Employer||Helmholtz-Zentrum Dresden - Rossendorf e. V. (HZDR)|
|Published||August 6, 2020|
|Job types||Postdoc  |
|Fields||Biostatistics,   Epidemiology,   Infectious Diseases,   Health Science,   Public Health  |