MARS Senior Research Associate in Machine Learning for Infectious Disease Models

• Develop and implement novel ML architectures and computationally intensive statistical methodology tailored to outbreak datasets.
• Collaborate with public health stakeholders and data providers to ensure models are grounded in real-world contact patterns.
• Publish findings in high-impact journals (e.g., Nature Communications, Lancet Digital Health) and top-tier ML conferences (NeurIPS, ICML, ICLR).
• Contribute to an open-source codebase to ensure reproducibility and utility for the wider scientific community.

You will work within a vibrant community of infectious disease modellers, centred in MARS, but collaborating with colleagues in Lancaster Medical School. There is additional scope to work within a wider collaboration with the University of St Andrews and Liverpool School of Tropical Medicine in Global Health, human, animal, and OneHealth epidemiology, as well as engage in consultancy, teaching, and outreach activities relevant to the research.

This is a full-time, fixed term position until 31st July 2029. Flexible working arrangements will be considered but you will be expected to be present on the Lancaster campus a minimum of two days a week.

Candidates who are considering making an application are strongly encouraged to contact Professor Chris Jewell [email protected] or Dr Jess Bridgen [email protected].

MARS: Mathematics for AI in Real-world Systems is seeking a highly motivated and creative Senior Research Associate to join our interdisciplinary team at the frontier of computational epidemiology and machine learning. This role focuses on developing next-generation frameworks to predict, understand, and mitigate the spread of infectious diseases.

It is an exciting time to be part of MARS, which is based in one of the top-ranked maths departments in the UK. You'll be part of a thriving and collegiate research group with a growing complement of academic staff, researchers and PhD students. MARS is a nationally distinctive group to join if you want to be part of the next generation of mathematicians tackling real-world problems and shaping the future of mathematics and AI.