Description du poste
**DFG Emmy Noether Project “OpTBtreat”**
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We are an interdisciplinary Emmy Noether research group funded by the German Research Foundation (DFG). We combine epidemiological research, applied modelling, and health-economic evaluation to improve population health. Our project “OpTBtreat” investigates how interventions before, during, and after tuberculosis treatment can improve patients’ health outcomes. We combine evidence synthesis, modelling, and health-economic analysis to guide which interventions to develop and prioritise, for whom, and at what cost.
Our findings will help guide the development, prioritisation, and implementation of strategies to improve care in TB programmes.We are located at the Department of Infectious Disease and Tropical Medicine at Heidelberg University Hospital, combining clinical care with research on diagnostics, clinical interventions, and global health. We benefit from close links with the Heidelberg Institute for Global Health and collaborate with leading academic institutions, international research networks, WHO, and industry partners.
* **Job-ID:** V000016516
* **Field of application:** Infektions- und Tropenmedizin
* **Location:** Heidelberg
* **Start date:** 15.01.2027
* **Job Category:** Science and teaching
* **Working hours:** full-time (100 %)
* **Published:** 11.11.2026
* **Limitation:**Temporary (12 months, with an option to extend)
* **Contract:**TV-L
**Your Tasks**
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* Implement, adapt, and apply individual-based simulation models to address public health questions about interventions before, during, and after tuberculosis treatment, learning these methods or deepening your expertise with methodological support from the team. Develop reproducible code, assess model performance, and analyse uncertainty
* Conduct health-economic evaluations to assess the costs, health benefits, and cost-effectiveness of intervention strategies and inform their prioritisation in TB programmes
* Contribute to evidence synthesis and analyse relevant data to inform model inputs, assumptions, and intervention scenarios
* Collaborate with colleagues, project partners, and stakeholders to define relevant research questions and interpret findings for policy and practice
* Plan and monitor your research activities against agreed project milestones and timelines
* Prepare manuscripts for peer-reviewed publication, present findings at scientific meetings, and contribute to funding applications
**Your Profile**
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* Master’s degree in biostatistics, epidemiology, health economics, public health or a related quantitative discipline
* For postdoctoral appointment: completed PhD in a relevant field
* Experience with quantitative data analysis and programming in R or a comparable language
* Interest in simulation modelling and health-economic evaluation
* Ability to communicate complex findings to scientific and non-scientific audienc