Overview
In this role you will lead an independent, externally funded research program at the interface of AI, data science, and One Health, with a focus on human, animal, and environmental health. You will collaborate across disciplines and with external partners to translate methodological advances into real-world health impact. You will contribute to teaching at undergraduate and postgraduate levels and mentor students, shaping a distinctive, internationally recognized research agenda. This position offers an opportunity to advance cross‑disciplinary AI-driven health research within Surrey’s veterinary and One Health ecosystem.
Pay / Benefits
- generous pension
- relocation assistance where appropriate
- flexible working options including job share
- blended home/campus working locations
- access to leisure facilities on campus
- travel schemes and family-friendly benefits including on-site nursery
Responsibilities
- Develop an independent, externally funded PI-led research program across UK and international funding landscapes
- Secure competitive research income and align with funders such as NIHR, UKRI, Wellcome Trust and industry
- Collaborate with School researchers to apply AI to biomedical and health research
- Forge collaborations with NHS, clinical researchers, industry and external partners to translate methods into health impact
- Publish high-quality research outputs and demonstrate measurable impact
- Contribute to teaching at undergraduate and postgraduate levels, including AI/data science curricula and research training
- Inspire students on how data and AI transform healthcare
Key requirements
- Ambitious or established research leader with a track record of collaboration and potential for sustained research income
- Experience aligning research with national priorities and external funding landscapes
- Ability to work across disciplines and build external partnerships
- Evidence of leadership and collaboration in research commensurate with career stage for Senior Lecturer level
- Expertise in AI/ML for biomedical and health applications (as listed in job ad)
- cross-disciplinary collaboration
- communication and networking
- mentoring and teaching
- Artificial Intelligence and Machine Learning for biomedical/health applications
- Large-scale and multimodal biomedical data
- Generative AI and foundation models
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