Job Description

Job number

ENG03733

Faculties

College-wide

Departments

College-wide

Salary or Salary range

65,073 - 76,873 per annum

Location/campus

White City Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

5 Jan 2026

About the role

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Applications are invited for a Senior Teaching Fellow in AI to advance the research within the I-X Centre for AI in Science. The Centreis part of an interdisciplinary campus devoted to AI and its applications. It is located within Imperial's Translation and Innovation Hub (I-HUB) and is co-located with AI academics from across Imperial's departments and faculties.The I-X Centre for AI in Science supported by Schmidt Science supports over 130 years of prestigious independent and original research by fellows using AI to advance science.



The Schmidt Sciences grant runs for 7 years with up to 38 fellows hosted in any year. Critically it has a strong aspect of training fellows from diverse backgrounds in topics in AI. You will have a key role in enhancing and supporting the research and training of the I-X Centre for AI in Science Fellows.

What you would be doing

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You will:


Develop and support fellows one-to-one with individual AI training plans including curating materials for the fellows to help them reach their learning goals, and helping them identify AI solutions to their challenges Stay up to date with the latest research in AI including conference attendance. Academically co-ordinate the annual 'Breaking Topics in AI' conference Organize the courses run through the I-X Centre for AI in Science Develop, design and oversee the courses connected to technical AI learning of the fellows at the Centre. This has a strong peer-to-peer focus for cohort building and as a pedagogical tool. Maintain the teaching material in the pre-acceleration welcome pack Organize the filming and upload of the minicourses and coordinate sharing of teaching materials with other Schmidt Sciences Centres. Undertake course administration duties, such as organisation of teaching activities, development of online materials, coordination of internal/visiting lecturers, attendance records, Health & Safety matters, etc. Undertake teaching, including lectures and academic tutorials, using appropriate teaching, learning support and assessment methods. Provide courses on best practices in education and organise the teaching of mini lecture courses at AIMS. This includes running workshops on how to develop intended learning outcomes or assessments, curating teaching materials and building a library of material for the fellows to assess. Participate in, and contribute to, the induction and pre-acceleration events, including the preparation of the preinduction welcome pack Conduct surveys and track skills by using innovative feedback and assessment processes. Given the need to stay aligned with the state of the art, and, in coordination with the line manager and applicant background, part of the role (up to 40%) might be 'research challenge facing' where the fellow will travel to conferences and tackle academic and industrial projects.

What we are looking for

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Candidates will:


Hold a PhD (or equivalent) in an appropriate AI discipline. Have experience in AI teaching

We understand AI very broadly - and adequate experience would include most topics in modern statistics and topics like Bayesian Machine Learning and Simulation Based Inference (a past research focus on neural network architectures is not a prerequisite): many data driven computational approaches are thus within the AI category.

What we can offer you

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This is a full time, fixed term position for 4 years. You will be based at White City Campus and become part of a team that driving the research of a cohort of top scholars based in the I-X Centre for AI in Science.

Further information

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Further information about the I-X Centre for AI in Science can be found at https://www.imperial.ac.uk/ix-ai-in-science/apply/ which includes an introductory video. If you have any queries about this opportunity, please contact Eileen Boyce at e.boyce@imperial.ac.uk

Available documents

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Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.



If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.



Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.



As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.



This is your chance to help shape the future. We hope you'll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.



Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.