Senior Research Fellow Full-time

Senior Research Fellow

This is an exciting opportunity for an enthusiastic software engineer/researcher with knowledge of software development and deployment, machine learning, and operational modelling to join a world-class University and Trust. The aim of the project is to develop and implement novel AI-enabled operational tools in support of biomedical research infrastructure within the NIHR UCLH BRC, working within a dedicated research and development team in close collaboration with the NIHR UCLH BRC.

The post is available from 01 April 2026 and funded by a grant from the NIHR UCLH BRC for 24 months in the first instance. This role is eligible for hybrid working with a minimum of 60% of time on site.

If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team at ion.hradmin@ucl.ac.uk. Informal enquiries regarding the role can be addressed to Dr Mohamad Zeina at m.zeina@ucl.ac.uk. A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel.

You'll have a PhD in mathematics, engineering, computer science, or a related discipline, and prior postdoctoral experience (or equivalent industry experience) with strong scientific writing skills. General machine learning experience is essential, as is experience of working with and analysing large, memory-intensive datasets, the ability to work with Python, and strong problem-solving abilities. Good interpersonal skills, the ability to act on your own initiative, and a passion for developing technology, as well as your own skillset and scientific portfolio, in an innovative area of computational neuroscience is essential. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:

• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days' annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• On-site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider applications to work on a part-time, flexible, and job share basis wherever possible. This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.

Our Commitment to Equality, Diversity and Inclusion

The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. Teamwork is highly valued, individual strengths are recognised and celebrated, and we are committed to advancing the careers of everyone. 12% of Institute staff are actively working on Equality, Diversity and Inclusion (EDI) initiatives; visit our EDI website for more information about our initiatives and priorities. The Institute also holds an Athena SWAN Gold award, in recognition of our commitment and demonstrable impact in advancing gender equality. 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+ and gender diverse people in all roles, and women in Grade 9 and 10 roles.