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

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

Limited to 3 years | Full-time with 38.5 hours / week | Salary group 13 according to TV-L | Clinical Epidemiology Unit at the Institute for Epidemiology and Social Medicine | Job ID : 11788

The Sánchez Lab at the European Institute for Molecular Imaging (EIMI) is seeking to fill a position limited to two years at the earliest starting opportunity.

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 :

Oversee 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)

Collaborate closely with national and international partners from various disciplines in academia and public health agencies

Participate in the build-up of a new research field in Germany

Add key evidence to an important and up-to-date research topic

Publish in high-quality peer-reviewed international journals

REQUIREMENTS :

Master’s degree and (preferably) PhD / doctorate in Biostatistics, Epidemiology, Mathematics, Physics or a 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, team orientation and good communication skills as well as a responsible and quality-driven working style

Excellent English language skills, German skills are a plus

WE OFFER :

Support for obtaining a PhD degree or postdoctoral lecture qualification (Habilitation), including access to all necessary prerequisites

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 March 4, 2026.

BENEFITS

Exciting Projects

Professional Development and Training

Interdisciplinary Collaboration

Part of Research Innovation

Additional Benefits

Exciting Projects

Professional Development and Training

Interdisciplinary Collaboration

Part of Research Innovation

Additional Benefits

gn=gender neutral)

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.

Questions about how to apply? Click here

Equal opportunities are a part of our Human Resources Policy. UKM supports the compatibility of work and family life and is certified as "Family-friendly Company" since 2010. 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. Due to legal requirements working with us is only permitted with complete vaccination against measles.

Universitätsklinikum Münster

Albert-Schweitzer-Campus 1, Gebäude D5

48149 Münster

www.ukm.de