Recruitment - 2x Research Fellow in AI for Healthcare

Project Overview
We are recruiting two motivated research fellows with backgrounds in computer science, biomedical engineering, electrical and electronic engineering, or related fields. This is an exciting opportunity to contribute to cutting-edge research in multi-modal foundation models, agentic AI, and their translation to real-world clinical studies.
The project is supported by the Wellcome Early-Career Award and aims to develop novel, impactful methodologies to enhance public healthcare through AI. Research themes include disease detection and prediction, subtype stratification, treatment outcome forecasting, and personalised clinical decision support.
Role Descriptions
Each position focuses on a distinct but complementary area:
Foundation Model Development & Data Strategy
- Investigate the impact of data quantity, diversity, and distribution on foundation model performance and generalisability.
- Design efficient data sampling strategies and novel training protocols to optimise foundation model performance including generalisability and fairness.
Foundation Model Evaluation & Agentic Integration
- Study and evaluate state-of-the-art multi-modal foundation models.
- Develop agentic AI workflows to develop generalisable, robust pipelines for downstream healthcare tasks.
Requirement
- PhD in computer science, biomedical engineering, Electrical and Electronic Engineering, or relevant fields.
- A strong track record in AI for healthcare research.
- Strong publication records in high-profile journals and conferences.
- Good knowledge in dealing with common challenges in medical data analysis, e.g. data missing, data noise, and data scarcity.
- Experience working in a multidisciplinary team and collaborating with both clinical and non-clinical researchers.
Employment Duration
The post is funded for 18 months in the first instance and will be available from 1st July. The start date is negotiable.
Salary
UCL Grade 7 Spine point 32, including London Allowance. More details can be found at here
Contact
To express interest, please email ykzhoua@gmail.com with a brief introduction, expecting starting date, and your CV attached.
The official application window will be opened soon.