Senior Postdoctoral Research Scientist in AI for Outbreak Response
Develop advanced AI-driven tools and forecasting models for infectious disease outbreak response at the University of Oxford.
Best for:Best for quantitative researchers with strong machine learning and disease modelling expertise looking to apply AI to global health challenges.
Overview
The Pandemic Sciences Institute at the University of Oxford is seeking a Senior Postdoctoral Research Scientist to join the Data Analytics and Epidemiology group. Working alongside Professor Moritz Kraemer, the successful candidate will contribute to the ORCAS consortium, focusing on disease forecasting, scenario modelling, and optimal public health interventions for outbreaks in Nigeria and the Democratic Republic of the Congo. Responsibilities include developing machine learning models, creating decision-support tools, and collaborating with international public health partners. The position offers a dynamic interdisciplinary research environment funded by The Gates Foundation until March 2028.
What you'll do
- Develop and validate machine learning models for infectious disease forecasting and simulation models for scenario exploration.
- Utilize large-scale data across epidemiological, genomic, and behavioral modalities.
- Contribute to the creation of decision-support tools that translate complex model outputs into actionable public health insights.
- Integrate newly developed predictive tools into existing public health workflows.
- Collaborate closely with public health partners in Nigeria and the Democratic Republic of the Congo to adapt models to local contexts.
- Support local stakeholders through co-design workshops and training sessions.
Requirements
Degree required: PhD/DPhil in a relevant quantitative discipline such as epidemiology, statistics, or computational biology
Language: English; professional working proficiency
Instruction: English
- Experience developing and deploying machine learning models for disease forecasting and scenario modelling
- Strong proficiency in Python, R, and/or other programming languages
- Experience building reproducible computational pipelines and software
- Proven ability to analyze large-scale multi-modal data
- Experience evaluating machine learning models with uncertainty quantification
- Must hold a PhD/DPhil with post-qualification research experience in a relevant discipline
Funding & terms
How to apply
Deadline: 2026-11-09
Applications must be submitted online through the University of Oxford recruitment portal. Candidates are required to upload a CV and a supporting statement explicitly addressing each selection criteria with concrete examples.
- CV
- Supporting statement
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