Postdoc / PhD student (gn*) Mathematical Modelling of Vector-Borne Infections

Limited to 3 years | Full-time with 38.5 hours/week | Salary according to TV-L E13 | Clinical Epidemiology Unit at the Institute for Epidemiology and Social Medicine

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.

To meet our high standards every day, we are looking forward to your scientific expertise. The Clinical Epidemiology Unit (clinicalepi.de) 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 coordinates the Interdisciplinary Center of Mathematical Modelling of Infectious Disease Dynamics (IMMIDD; uni-muenster.de/IMMIDD) at the University of Münster, and is one of the partners in the Modeling Network for Severe Infectious Diseases (MONID; monid.net) in Germany – ideally with you on board!

RESPONSIBILITIES:

• Being in charge of the modelling work in a third-party funded project on the future potential of vector-borne diseases in Germany and potential countermeasures, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html)
• Collaborating closely with national and international partners from various disciplines in academia and public health agencies
• Participating in the build-up of a new research field in Germany
• Adding key evidence to an important and up-to-date research topic
• Publishing in high-quality peer-reviewed international journals

REQUIREMENTS: 

• Master’s degree and (preferably) PhD e.g. in Biostatistics, Epidemiology, Mathematics, Physics or related discipline
• Experience in mathematical modelling, statistical inference, simulation studies, and data analysis
• Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++)
• 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, German skills are a plus

WE OFFER:

• Support with (and access to all prerequisites necessary for) obtaining a PhD or postdoctoral lecture qualification (Habilitation)
• Support for further personal training not directly related to the project (e.g. structured development of leadership competencies)
• An interesting and versatile project with challenging tasks
• Training and work in a multidisciplinary and committed research team

• Salary according to tariff agreement, extra annual payment, and company pension plan (VBL)
• 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve
• Support and advisory services for health and work-life balance
• Additional benefits such as sports programs, job ticket, company events, cafeteria, and emergency childcare

For inquiries, please contact: André Karch, akarch@uni-muenster.de

Apply now via our career portal by 4 March 2026.