Research Fellow in Theoretical and Mathematical Biology, Medicine, Medical Sciences & Nutrition (IMS325R)
Job Description
The successful candidate will join an interdisciplinary research team, led by Dr Tom Hiscock, who uses computational and theoretical approaches to understand fundamental questions in developmental biology. There are multiple projects available in the group, and considerable flexibility in project direction. Successful candidates will have the opportunity and mentorship available to develop their own ideas and shape the project direction from an early stage.
The candidate will be based at the Institute of Medical Sciences, where they will join a diverse community of researchers working on a range of biological and biomedical phenomena. They will also join a wider multi‑disciplinary collaboration, alongside teams in Cambridge, Basel, and Dundee. The Hiscock group is based at the University of Aberdeen, located in an affordable and vibrant city with access to some of the best outdoors activities that the UK has to offer.
We are seeking a talented individual who is motivated to understand how embryos develop and who shows initiative and creativity in solving difficult research problems. Since the project will involve advanced mathematical and computational techniques, it is essential to have experience in mathematical modelling, dynamical systems theory, numerical methods, coding, and machine learning. An ideal candidate would have a PhD, or postdoctoral experience, in computational/mathematical biology (this includes PhD students who are near completion but have yet to submit). However, talented candidates from a wide range of disciplines are encouraged to apply – including from the physical/mathematical sciences without any prior biology background – provided they can evidence enthusiasm and commitment to learning about developmental biology.
Salary will be at the appropriate point on the Grade 6 scale, £38,784 – £46,049 per annum, and negotiable with placement according to qualifications and experience.
Prior to employment, the successful candidate must be able to demonstrate their right to work in the UK. This role may be eligible for sponsorship under the Skilled Worker route under the UKVI immigration rules but is dependent on factors specific to the candidate and if tradeable points can be used under the rules.
Alternatively, the successful candidate for this post may be eligible to apply for a Global Talent Visa on the UKRI Endorsed Funder route.
Information on other visa options is available at https://www.gov.uk/check-uk-visa.
The closing date for the receipt of applications is: 26 June 2026
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