Research Fellow in AI for Healthcare

UCL; London; On-site; GBP 45,000 - 47,000; Full time

Job summary

A leading academic institution in London is seeking a Research Fellow in AI for Healthcare to evaluate and integrate multi-modal models into agentic AI workflows. The role requires a PhD in a relevant field and offers the opportunity to work with top experts while providing a competitive salary and benefits. Apply with a CV and personal statement outlining fit for the criteria.

Benefits

Generous pension scheme

Holiday allowance

Enhanced parental pay

Closure and bank holidays

Qualifications

• Track record in the theory and application of machine learning.
• Experience with multi-modal foundation models.

Responsibilities

• Evaluate recent multi-modal foundation models.
• Integrate models into agentic AI workflows.
• Propose frameworks for healthcare applications.

Skills

Machine learning application

Development of multi-modal models

Theoretical knowledge in AI

Education

PhD in a relevant topic

Job description

About us

The post of Research Fellow in AI for Healthcare is available with Dr Yukun Zhou in the UCL Institute of Ophthalmology, ranked the best place in the world to study ophthalmology (CWUR Rankings by Subject 2017), as part of Dr Zhou's Wellcome Trust Early-Career Award.

This is an exciting opportunity to play a key role in the development of novel innovations aimed at advancing fundamental methodologies for multi-modal foundation models and improving public healthcare. The successful applicant will also benefit from from the opportunities afforded by being part of the larger financial and administrative community of the Faculty of Brain Sciences, School of Life and Medical Sciences and University College London (UCL).

About the role

Salary: UCL Grade 7 spine point 31-32 (£45,103 - £46,261)

Duration: the post is available from 01/09/2025 for 18 months until 28/02/2027

The research fellow will focus on evaluating the most recent multi-modal foundation models and integrating them into the workflow of agentic AI. The target is to propose an efficient, robust, and generalisable framework supporting diverse healthcare applications

Appointment as a Research Fellow at Grade 7 is dependent upon having been awarded a PhD. If this is not the case, an initial appointment will be made as a Research Assistant at Grade 6b with payment at Grade 7 backdated upon award of a PhD to the date of final submission of the PhD thesis (with corrections)

About you

Applicants should hold a PhD in a relevant topic, and have a track record in the theory, development and application of machine learning.

What we offer

Working with some of the greatest intellects in the world, UCL also offers a generous pension scheme and holiday allowance, plus closure and bank holidays as well as enhanced parental pay and more. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Application Process

If you have any queries regarding the vacancy please contact Dr Yukun Zhou (email: [e-mail]). If you have any queries regarding the application process please email: [e-mail].

A job description and person specification can be accessed at the bottom of this page.

To apply for the vacancy please click on the 'Apply Now' button below.

Please ensure you attach your CV and highest academic qualification . In addition, please ensure you provide a personal statement outlining how you meet the criteria to support your application. Please DO NOT attach research papers.

Our commitment to Equality, Diversity and Inclusion

As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.