Phd Position in Epidemiological Data Collection, Scenario Analysis and Implementation Sciences
il y a 16 heures
**Fully Funded PhD Position in Epidemiological Data Collection, Scenario Analysis and Implementation Sciences ANTICIPATE**:
**Collaboration between Mental Health and Wellbeing Research Group (MENT) - Vrije Universiteit Brussel and Department of Internal Medicine and Infectious Diseases - UZ Brussel**:
Join ANTICIPATE (Artificial Intelligence and Epidemic Modeling to Prepare Hospitals for the Next Respiratory Pathogen with Pandemic Potential), a cutting-edge, interdisciplinary research project funded by FWO-SBO, in collaboration with the Vrije Universiteit Brussel (VUB), the Universitair Ziekenhuis Brussel (UZ Brussel) and the University of Antwerp (UA). This fully funded PhD position offers a unique opportunity to contribute to the future of pandemic resilience through scenario analysis, clinical data collection strategies and implementation science.
**Project Overview**:
The COVID-19 pandemic exposed critical gaps in our ability to detect and respond to emerging respiratory viruses. ANTICIPATE addresses these challenges by developing AI-supported tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making and (3) investigate real-world implementation and adoption of these AI driven tools.
The project brings together experts in AI, epidemiology, health economics, molecular diagnostics, implementation sciences and public health. It is structured around six scientific work packages and three real-world use cases (UCs), with continuous input from hospitals, government agencies and healthcare organizations.
**Scope of the PhD project**:
Data Collection, Scenario Analysis, implementation sciences with the goal not only to develop tools and models but also to investigate how they can be translated in a real-world context.
- Master’s degree in biomedical sciences, public health, biostatistics, epidemiology, medical sociology, or related field.
- A strong interest in infectious disease modeling and interdisciplinary implementation research.
- Experience with data analysis (e.g., R, Python) and/or clinical data management is a plus.
- Experience with qualitative research is an asset.
- Excellent communication skills in English; knowledge of Dutch is an asset for working in a clinical setting.
- A collaborative mindset and the ability to work independently on societally relevant research.
**What We Offer**:
- A fully funded 4-year PhD position within a dynamic and interdisciplinary research consortium.
- Access to rich clinical datasets, cutting-edge modeling tools, and real-world hospital infrastructure.
- Opportunities for international collaboration, training and academic dissemination.
- A vibrant academic environment at the interface of healthcare, science and society.
**Practical information**:
- Start date: October 2025 (flexible)
- Application deadline is 30/09/2025
Applications received after this date will be considered on a case-by-case basis.
Join us in shaping the future of pandemic preparedness.
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