Postdoctoral Scientists in Modelling and Data Analysis of the COVID-19 pandemic (f, m, d)
Systems Immunology (SIMM)
The Helmholtz Centre for Infection Research (HZI) offers Two positions as Postdoctoral Scientists in Modelling and Data Analysis of the COVID-19 pandemic (f, m, d) in the Department of Systems Immunology. Both positions are offered in the context of epidemiological modelling of the COVID-19 pandemic. You will work in a highly international team in close collaboration with experimental researchers as well as mathematical modellers to contribute to a highly innovative approach to investigate the spread of SARS-CoV-2. We are developing an agent-based model that integrates specific regional properties and a detailed description of individual behaviour into an epidemiological modelling framework. This is complemented by a data-driven approach to identify risk groups, infection clusters, and potential superspreading situations in a unique international data set provided in an international, EU funded consortium. The appointments will be initially limited to 2 years and will be payed according to the German standard TVöD 14 including full social security. Upon positive evaluation, one of the positions can be extended to a project lead with a prolongation for additional 3 years. The starting date for both positions is at your earliest convenience. The department, founded 10 years ago and growing, is working on mathematical modelling of immunological systems. Our methodology is as diverse as our individual backgrounds: researchers from physics, mathematics, computer science, engineering, and biology work together using methods from ODE- and PDE-systems to agent-based models. This diversity covers a wide range of applications, including adaptive immunity, chronic and acute inflammation, bacterial and viral diseases, and epidemiology, embedded in a large campus for experimental research. We maintain a network of close collaborations with clinical partners, providing access to highly relevant data sets. Within the department, a new research focus on epidemiological models is emerging driven by the current demand from policy makers, media, and the general public and we are actively consulting authorities on different levels. As such, your research can have a direct impact on policy and, ultimately, the health and wellbeing of the people.
We are looking for a highly motivated, creative, and independent mind with the will to create a foundation for a new topic. You should have a strong interest in viral diseases and epidemiology as well as a solid background in mathematics, theoretical physics or similar quantitative fields. An education in statistical physics, mathematics, computer science, engineering, or related fields is the ideal background for this position.
You should have demonstrable experience in one or more of the following fields:
- Academic degree (Ph.D)
- Ordinary and/or Partial Differential Equations
- Agent-based models
- Epidemiological modelling
- Fuzzy logic
- Machine learning
- Optimization algorithms
- Fluency in Englisch.
Programming experience, preferably in C++, and excellent background in either mathematical modelling and relevant numerical libraries or machine learning and at least one major framework such as Theano, Tensorflow, or Keras, is required. Experience in working in a Linux environment and usage of relevant scientific libraries is a plus.
- System-Immunologie- Prof. Dr. Michael Meyer-Hermann
Bei gleicher fachlicher Eignung erhalten Schwerbehinderte den Vorzug.
Die Stelle ist teilzeitgeeignet.
as soon as possible
contract will initially run 2 years
E14 TVöD Bund
Bewerbungsschluss ist der 30.08.2020
Please send your application including c.v., publication list, acquisition of third party funding, statement of research interest, experience in supervision of PhD thesis and teaching experience referring to Code No. 82/2020 to:
Helmholtz Centre for Infection Research
Human Resources Department
or in a single pdf-document by email to: JobsHZI@helmholtz-hzi.de.
For further information, please contact Prof. Dr. Michael Meyer-Hermann, Department Systems Immunology, Telephone +49 (0)531 / 39155210 or by email: email@example.com.
Equal opportunities are part of HZI’s personnel policy. We seek to support women in theoretical sciences.
Without these declarations we cannot consider or further process your application and will delete already received documents at the end of the application period.
Die HZI International Graduate School for Infection Research (GS-FIRE) bietet ein innovatives, strukturiertes Promotionsprogramm im Themenbereich "Infektionsforschung".