The Clinical Epidemiology Unit uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the application of dynamic mathematical modelling approaches to simulate the spread of infectious agents in human populations. The Unit is involved in various SARS-CoV-2 projects and is looking for a research assistant or postdoctoral research fellow to primarily work on SARS-CoV-2 projects.

The position

• involves the statistical analysis of data already available at the Institute (for example the COVIMOD study looking at social contacts in Germany during the SARS-CoV-2 pandemic)
• involves the design of new and the extension of already existing mathematical models for modelling the transmission dynamics of SARS-Cov-2
• will add key evidence to a crucial and up-to-date research topic
• includes the collaboration with external scientists as well as public health authorities
• will lead high-quality peer-reviewed manuscripts in international journals

What we expect:

• Masters or (preferably) PhD degree in Epidemiology, Biostatistics, Mathematics, Physics or a related discipline
• Experience in infectious disease epidemiology and/or in mathematical modelling
• Good programming skills in relevant programming languages (e.g. R, Python)
• Knowledge of statistical and epidemiological methods
• An analytical and structured way of working, good team and communication skills, as well as a sense of responsibility and quality awareness
• Excellent English language skills. Excellent German language skills will be advantageous.

What we offer:

• Support for further personal training not directly related to the project (e.g. structured development of leadership competencies)
• Support with obtaining a PhD in Epidemiology
• An interesting and versatile workplace with challenging and exciting tasks and projects
• Training and work in a multidisciplinary and committed research team

For further information, please contact Prof. Dr. André Karch (akarch(at)­uni-muenster(dot)­de).

Please send your application with the reference code until 19.05.2021 to Personalgewinnung des Universitätsklinikums Münster, Bewerbermanagement, Domagkstraße 5, 48149 Münster or via e-mail to Bewerbung@ukmuenster.de.

Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference.

The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them.