Research Scientist in AI for Healthcare (Postdoctoral)
Postdoctoral position in the CHI Lab supervised by Prof. David Clifton (Chair of Clinical Machine Learning, Oxford) to develop machine learning approaches for large-scale clinical datasets including physiological time-series, blood tests, medications, and diagnoses. The role involves creating analytical protocols, publishing peer-reviewed articles, and leading team members. Requires a PhD in AI, signal processing, or related field with strong Python/MATLAB programming and a solid publication record.
Research Scientist in AI for Healthcare
Employer: Oxford Suzhou Centre for Advanced Research (OSCAR) — Suzhou, Jiangsu, China
Type: Postdoctoral, Full-time, Fixed-term — Stipend: 22,000–25,000 CNY/month — Deadline: 9 August 2026
Role Overview
The post-holder will conduct research in the Computational Health Informatics (CHI) Lab under Prof. David Clifton’s supervision, bridging research between the Oxford University main campus and OSCAR. The role focuses on analyzing large-scale clinical datasets using machine learning, with a career pathway to postdoctoral positions at Oxford University.
Key Responsibilities
- Develop computational health informatics research questions and conduct original data analysis
- Create analytical protocols for processing physiological time-series, blood tests, and clinical records
- Publish peer-reviewed articles and present at international conferences
- Lead and coordinate collaborative projects with team members
- Maintain current knowledge of machine learning and LLM/foundation model developments
Requirements
- PhD/D.Phil in AI, signal processing, or related field
- Strong publication record in machine learning or signal processing
- Proficiency in Python or MATLAB; experience with healthcare data analysis tools
- Interest in large language models and clinical applications is desirable