| Location: | London, Hybrid |
|---|---|
| Salary: | From £54,931 |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 5th November 2025 |
|---|---|
| Closes: | 1st December 2025 |
| Job Ref: | B02-09474 |
About us
The Department of Translational Neuroscience and Stroke at UCL investigates the mechanisms of neurological diseases and develops innovative treatments to improve patient outcomes. Our multidisciplinary team combines expertise in neuroscience, clinical neurology, and computational modelling to translate research into real-world impact.
As part of this mission, we are launching a five-year MRC-funded Deep Network Modelling in Neuro-oncology programme. This initiative will advance predictive and personalised modelling in brain tumour research, enhancing understanding of disease mechanisms and guiding future therapies.
The project is embedded within the High-Dimensional Neurology Group, led by Dr James Ruffle, providing strong computational and collaborative support.
About the role
We are seeking a talented researcher to join a major neuro-oncology initiative applying AI and network modelling to brain tumour research. You will work with unique datasets to develop advanced tools for personalised prediction, treatment planning, and discovery of disease mechanisms.
This is an excellent opportunity for a researcher looking to strengthen their academic career in translational neuroscience or build links with industry through collaborative ventures.
As Research Fellow or Senior Research Fellow, you will help shape the research agenda through data governance, advanced modelling using NLP and multi-modal imaging data, high-dimensional visualisation, and contributions to scientific publications and grant applications. You will also mentor junior researchers, supervise students, and collaborate across multidisciplinary teams.
The post is available immediately and funded by the Medical Research Council for one year in the first instance with the possibility of extension to 31 July 2030.
For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs) and search using vacancy reference B02-09474.
About you
To be successful in securing a Research Fellow appointment, you will hold (or be close to obtaining) a PhD in Mathematics, Engineering, Computer Science, or Computational Neuroscience, or possess equivalent relevant industry experience. Demonstrable expertise in complex modelling techniques, such as machine learning, network neuroscience, or other related computational approaches, is essential.
Candidates applying for appointment at Senior Research Fellow level will, in addition, have prior postdoctoral research experience and a track record of first-author publications in peer-reviewed journals or experience in securing research funding, alongside a PhD in Mathematics, Engineering, Computer Science, or Computational Neuroscience.
You will be proficient in high-level programming (especially Python) and confident handling large, complex datasets. Passionate and self-motivated, you will combine scientific creativity with a collaborative approach to advance real-world neuro-oncology research.
What we offer
Salary offered at Research Fellow/UCL Grade 7 (£45,103 - £52,586 per annum including London Allowance) or Senior Research Fellow/UCL Grade 8 (£54,931 per annum including London Allowance), dependent on skills and experience.
Appointment at Grade 7 is dependent upon having been awarded a PhD or having equivalent relevant industry experience; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £39,148 - £41,833 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. It is expected that you will have had your viva prior to commencing in post.
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