Become a Supervisor

Features of good AI project placements include: appropriate composition and skills-mix of the hosting team and supervisor, concrete and credible timelines, opportunities to acquire of skills and knowledge highly relevant to the clinical AI curriculum, embedding the fellow deeply in team, and opportunities for publication and presentation.

An AI project supervisor must be a senior team member of a team working on the deployment and/or evaluation of clinical AI technology in the NHS.

The hosting team must be multidisciplinary in composition, with dedicated capacity for the deployment and/or evaluation of clinical AI tools in the NHS. Previous track record of successful AI deployment is especially useful is demonstrating the suitability of the team.

Yes. The last page of the project proposal template specifies the checklist used for quality assurance. Projects are released to candidates for matching only after being quality assured.

No. The educational aims of the project need to meet most of the learning objectives of 3 of: Regulation & Standards, Validation & evaluation, Integration & systems impact, Strategy & culture. If a project is primarily focussed on scoping or building an AI tool (and is unlikely to reach clinical deployment in the fellowship year), it is unlikely to meet the learning objectives of a fellow and unlikely to pass quality assurance.

This is a good indicator of the fellow being being exposed to different parts of the AI lifecycle and is strongly encouraged. Document other projects in Section E, 'What useful work can the fellow contribute to other clinical AI activity in your team'.

If a project is so specialised as to be undeliverable without particular Essential skills/knowledge/background, please contact the faculty (gstt.aifellowship@nhs.net) regarding the suitability. It is strongly recommended that skills/knowledge/background are listed as Desirable in your proposal, as the field of clinical AI is still emerging and additional requirements reduce the chances of a project being successfully matched.

Yes. Use a new template per proposal.

Yes. Specify all the NHS Trusts/sites from which a fellow could join the project, and it will be entered into each appropriate pool.

Yes. Supervisors are asked to participate in interview panels for the recruitment of fellows to their regions.

Applicants will rank the projects they are eligible to be matched to. The highest scoring applicant from the interview stage in each regional project pool will be matched to their highest ranked project. The next highest scoring applicant is matched to their highest ranked project remaining, etc. until all posts are filled.

No. For example if more project proposals for a regional pool are received than the number of posts to be allocated, there will be projects that do not receive fellows.

All joining fellows meet the Essential criteria of the Person Specification, and many fellows will also meet the Desirable criteria. Link pending to Cohort 5 Person Specification.

Directly allocated fellows are NHS applicants who have their own source of funding (instead of competing for posts in the regional pools). Directly allocated fellows interview for posts and are held to the same standard of appointability as other candidates. One difference with directly allocated fellows is that they may have a directly allocated project that is specifially reserved for them on the fellowship. You should only submit a project as a 'directly allocated' project if this arrangement has already been agreed with the applicant and the faculty.

After a fellow is matched to their project, a supervisor must organise a Letter of Access or honorary contract for their institution, and any other resources (hardware, software, IT accounts etc.) required for the fellow to work on the project. The supervisor must organise a suitable induction period and project orientation for the fellow upon joining the team. After the fellow joins the team, it is expected that there is 1hr of direct supervision per week from either the the supervisor or another senior team member. Over the course of the fellowship, the fellow and the supervisor must have 3 formally documented attachment meetings and co-develop the fellow's Personal Development Plan.

The hosted fellow continues to be salaried by their existing Employer. The addition of a skilled clinical team member with training in clinical AI is the benefit realised by the hosting team. The fellow's time is released for 0.4FTE for the duration of the attachment for fellowship activities, which includes their AI project. There is no financial transaction to the host team. It is the supervisor's responsibility to arrange access to relevant local resources (hardware, software, IT accounts etc.) for the fellow to successfully complete the project.

The placement must align to the educational year of the NHS Fellowship in Clinical AI: August 2026- August 2027. Fellows work for 2 days a week on their attached projects during this time, minus pro rata leave, and other fellowship-associated educational activities.

The project proposal is a roadmap, and if the plan for the project changes, this should be clearly documented with the fellow's input and submitted to the faculty. If the project changes to such a degree that the learning objectives of the fellow are affected, this will need further discussion.