PhD Position in Disease Modelling: Heidelberg University is offering a PhD position focused on the modelling of vector-borne diseases (VBD) in relation to climate change. This position is part of an interdisciplinary project aimed at enhancing modeling and prediction of VBD emergence and outbreak patterns.
PhD Position in Vector-Borne Disease Modelling
Designation
PhD Position (f/m/d) in Vector-Borne Disease Modelling
Research Area
- Vector-borne diseases (e.g., West Nile fever, Dengue fever, Tick-borne diseases)
- Climate-sensitive infectious diseases
- Statistical and machine learning approaches in epidemiology
Location
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany
Eligibility/Qualification
- Master’s degree or equivalent in Mathematics, Computer Science, or Statistics
- Proficiency in one or more programming languages (R, Python, Julia, MATLAB)
- Interest in infectious disease dynamics, public health, global health, and climate sciences
- Excellent written and oral communication skills in English
- Ability to work independently as well as part of a team
- Understanding of dynamical systems, time series models, machine learning, and Bayesian statistics is a merit
Job Description
- Develop various models for short-term predictions and long-term simulations of VBD
- Use machine learning, statistical, and process-based modeling techniques
- Present research findings at scientific conferences and publish in peer-reviewed journals
- Contribute to the academic environment and participate in training activities
- Co-organize workshops and events
How to Apply
Submit a single PDF file containing:
- Cover letter outlining your background, research interests, and motivation (max. 1 page)
- Detailed CV
- Academic transcripts
- Contact details for two academic referees
Email your application to: application.rockloev@iwr.uni-heidelberg.de
Subject line: “PhD Application – VBD Modeling” followed by your name.
Last Date to Apply
November 21, 2025
This opportunity provides a stimulating interdisciplinary environment and is funded by the Federal Ministry of Research, Technology and Space. Join a project with collaborative potential across various fields, including epidemiology, ecology, and public health.
