Research Associate in Multimodal Foundation Models for Healthcare

Research Associate in Multimodal Foundation Models for Healthcare

Job number ENG03884 Faculties Faculty of Engineering Departments Department of Bioengineering Salary or Salary range £49,017 - £57,472 per annum Location/campus South Kensington and White City Campus - On site only Contract type work pattern Full time - Fixed term Posting End Date 16 Jun 2026

About the role

Are you an ambitious researcher ready to shape the future of AI for healthcare? Nightingale AI at Imperial College London is seeking two outstanding Postdoctoral Research Associates to help build next-generation multimodal foundation models that can learn from the full richness of health data - from biosignals and electronic health records to imaging, wearables, and biomedical knowledge. These posts offer a rare opportunity to work on frontier AI with real clinical and biomedical consequence.

What you would be doing

You will join Nightingale AI, an interdisciplinary programme spanning machine learning, medicine, neuroscience, engineering, and translational healthcare. Depending on your expertise and interests, your research may focus on one or more of the following areas:

• Multimodal foundation models for biosignals and population scale health data, including self supervised learning, time series modelling, and cross modal representation learning.
• Scalable generative health AI, knowledge graph enhanced modelling, retrieval augmented generation, and architectures that improve faithfulness and scientific coherence.
• Theory of unified multimodal foundation models, including representation structure, scaling behaviour, modality alignment, and mathematically principled approaches to heterogeneous data integration.

We are particularly interested in applicants who can help define the scientific direction of the programme, rather than simply execute a pre specified agenda.

What we are looking for

You should hold, or be close to completing, a PhD in machine learning, artificial intelligence, computer science, statistics, mathematics, computational biology, biomedical engineering, or a closely related quantitative discipline. We are looking for candidates with a strong track record and expertise in several of the following:

• Multimodal learning, self supervised or representation learning
• Large scale or generative foundation models, knowledge graphs, graph learning, or retrieval augmented methods
• Machine learning theory, scaling laws, or generalisation in deep learning
• Distributed training and large scale experimental ML Experience with healthcare or biomedical data is highly desirable, but exceptional candidates from adjacent AI fields with a strong motivation to work in health are also encouraged to apply.

What we can offer you

The opportunity to work on AI intended to matter in practice, not only on benchmark problems, as part of an ambitious programme building a new class of unified health AI systems.

The chance to collaborate with researchers across machine learning, healthcare, neuroscience, engineering, and translational medicine, and to publish top tier research with a genuine path toward real world impact.

Sector leading salary and remuneration package (including 41 days off a year and generous pension schemes).

This is a full time, fixed 24 month post (35 hours per week).