PhD Position in Vector-Borne Disease Modeling, Germany

PhD Position in Vector-Borne Disease Modeling, Germany

Applications are now being accepted for a PhD Position in Vector-Borne Disease Modeling at Heidelberg University. The selected student will work with advanced statistical, machine learning, and process-based approaches to improve prediction of climate-sensitive diseases across Germany, beginning January 2026.

Applicants must be prepared to participate actively in the research group’s academic activities and contribute to collaborative projects within the VBD-MODE consortium. A solid understanding of dynamical systems, statistical modeling, or global health topics will strengthen their application.

Heidelberg University is Germany’s oldest university and a leading institution recognized worldwide for its excellence in research and teaching. Known for its strong interdisciplinary approach and vibrant international community, the university fosters innovation across sciences, humanities, and medicine. It remains a leader in research and education, welcoming students and scholars from around the world and upholding its tradition of intellectual excellence.

• Eligible Countries: All countries
• Acceptable Course or Subjects: The scholarship/position will be awarded to candidates pursuing a PhD related to Vector-Borne Disease Modeling, involving statistics, computer science, mathematics, infectious disease modeling, climate and environmental sciences, and related fields offered by Heidelberg University.
• Admissible Criteria: To be eligible, applicants must meet the following criteria:
  • Hold a Master’s degree (or equivalent) in Mathematics, Computer Science, Statistics, or a closely related field.
  • Demonstrate proficiency in at least one programming language (R, Python, Julia, MATLAB).
  • Show interest in infectious disease dynamics, global health, public health, climate and environmental sciences.
  • Possess strong written and oral communication skills in English.
  • Be able to work independently and collaboratively within interdisciplinary teams.
  • Show interest or experience in dynamical systems, time-series modeling, machine learning, Bayesian statistics, or environmental/climate data (considered a merit).
  • Demonstrate readiness for transdisciplinary and collaborative research.

• Opportunity to pursue an independent PhD project within a federally funded interdisciplinary consortium.
• Work in the CSIDlab under the supervision of Prof. Dr. Joacim Rocklöv, focusing on cutting-edge climate-sensitive infectious disease modeling.
• Access to collaborative networks involving epidemiologists, entomologists, ecologists, and public health experts.
• Training and professional development opportunities at Germany’s oldest university.
• Individualized mentoring and research support.
• Stimulating international and interdisciplinary environment.
• Subsidized Deutschlandticket for public transportation.
• Competitive remuneration under the German public sector system (TV-L E13, 75%).

• A cover letter (max. 1 page) outlining background, research interests, and motivation
• Detailed CV
• Academic transcripts
• Contact information for two academic referees