Dame Kathleen Ollerenshaw Fellow AI & Scientific Computing in Regulatory Science

The University of Manchester - Science and Engineering

Location:ManchesterSalary:£47,389 to £58,225 per annum depending on experienceHours:Full TimeContract Type:Fixed-Term/ContractPlaced On:9th March 2026Closes:30th March 2026Job Ref:SAE-030993

Background

The Faculty of Science and Engineering at the University of Manchester has invested in Early Career Researchers for many years, thereby increasing the diversity of our staff. These represent a strategic investment in outstanding researchers who will shape our future research portfolio. In 2026, we plan to appoint Dame Kathleen Ollerenshaw University Research Fellowships across the Faculty. These fellowships are fixed-term for 5 years and serve as an excellent stepping stone toward establishing an independent research career and securing a full-time, permanent academic position. It is therefore important that applicants discuss their applications with the candidate host departments and ensure that their teaching profile and skills align with the host departments' longterm strategy.

In 2026, we plan to appoint Dame Kathleen Ollerenshaw University Research Fellowships aligned with FSE (e.g., in the Department of Computer Science and the Mechanical Engineering and the Department of Mechanical and Aerospace Engineering), in support of the UK Centre of Excellence on in-silico Regulatory Science and Innovation.

The UK Centre of Excellence on in-silico Regulatory Science and Innovation

The University of Manchester coordinates the UK Centre of Excellence on in-silico Regulatory Science and Innovation (UK CEiRSI), a pioneering multimillion-pound initiative. This first-of-its-kind centre bridges the gap between fundamental computational breakthroughs and the safe deployment of medical innovations. As a Fellow, you will lead methodological research to transform how medical products are tested and approved globally. We are driven by clinical challenges and focused on fundamental methodological breakthroughs. Your work will position in-silico technology as a mainstream approach to eliminating risk from future pharmaceutical and medical device innovations. You will collaborate with a world-class network that includes the MHRA, NICE, the FDA, and leading industrial partners. Manchester’s investment in facilities provides a premier environment for interdisciplinary discovery. Join us to shape the future of regulatory science through high-impact digital twinning and AI-driven simulation. This role offers a unique platform to contribute to the University’s Manchester 2035 strategy and social responsibility goals. Secure your place at the heart of a global hub for computational engineering and regulatory excellence.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers
• As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to recruitmentservices.people@manchester.ac.uk.

Any CVs submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Email: DKOFellows@manchester.ac.uk

General enquiries:

Email: recruitmentservices.people@manchester.ac.uk

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This vacancy will close for applications at midnight on the closing date.