The Clinical Epidemiology Unit at the Institute for Epidemiology and Social Medicine of the University of Münster is offering a position starting as soon as possible initially limited to 3 years:

PhD student, research assistant (MSc level) (gn*) / Postdoctoral research fellow (PhD level) (gn*) with a focus on infectious disease epidemiology/mathematical modelling of infectious diseases

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 researcher to primarily work on new upcoming 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 and other emerging pathogens for recently third-party funded projects
- 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, especially in the currently developing network for mathematical modelling of infectious diseases in Germany (funded by the German Ministry of Education and Research)
- Will lead to high-quality peer-reviewed manuscripts in international journals

What we expect:
- Master’s degree and/or PhD in Epidemiology, Biostatistics, Mathematics, Physics or a related discipline
- Experience in infectious disease epidemiology and/or mathematical modelling
- Good programming skills in relevant programming languages (e.g. R or 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:
- In case a PhD is pursued, full dedication to the PhD project in a structured or unstructured PhD program
- Support for further personal training not directly related to the project (e.g. structured development of leadership competencies)
- An interesting and versatile workplace with challenging and exciting tasks and projects
- Training and work in a multidisciplinary and committed research team

If you have any questions about the position, please contact Prof. Dr. André Karch, andre.karch(at)­ukmuenster(dot)­de.
Please send your application in a single pdf file with the reference number until 23.03.2022 to bewerbung(at)­ukmuenster(dot)­de.