Senior Research Fellow

About us

The Department of Translational Neuroscience and Stroke at UCL is dedicated to understanding the underlying mechanisms of neurological diseases and developing innovative treatments to improve patient outcomes. Our multidisciplinary team brings together expertise in neuroscience, clinical neurology, and computational modelling to translate cutting-edge research into real-world impact.

As part of this mission, UCL is launching a five-year, Medical Research Council-funded Deep Network Modelling in Neuro-oncology programme. This pioneering project aims to build a robust framework that enables more accurate and equitable prediction of individual patient outcomes, facilitates personalised treatment prescriptions, and reveals critical disease mechanisms essential for future therapeutic advances.

The project will develop and apply advanced modelling techniques to high-dimensional clinical and imaging data, delivering real-world applications across the neuro-oncology landscape. Embedded within the High-Dimensional Neurology Group, which offers strong infrastructural and computational support, this work is led by Dr James Ruffle, who oversees the neuro-oncology research stream.

About the role

We are seeking a talented researcher to join a major neuro-oncology initiative focused on applying AI and network modelling to brain tumour research. You will work with globally unique datasets to develop cutting-edge tools for personalised prediction, treatment planning, and discovery of disease mechanisms.

This is a unique opportunity for an experienced researcher seeking to consolidate their academic career in translational research or to bridge into industry through spin-outs or established enterprises.

As a Senior Research Fellow, you will play a central role in shaping and driving the research agenda, with responsibilities spanning data governance and curation, advanced modelling using NLP and multi-modal imaging data, high-dimensional data visualisation, and leading on both scientific publications and major grant applications.

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.

This role is eligible for hybrid working with a minimum of 60% of time on site.

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. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel.

About you

You will hold a PhD in Mathematics, Engineering, Computer Science, or Computational Neuroscience along with prior postdoctoral research experience. A track record of first-author publications in peer-reviewed journals or experience in securing research funding is essential, as is demonstrable expertise in complex modelling techniques such as machine learning, network neuroscience, or related computational approaches.

You will have strong proficiency in high-level programming (particularly in Python) and be confident working with large, high-dimensional datasets.

You will be passionate about scientific innovation and discovery, with a commitment to the real-world translation of research in neuro-oncology. You should be resourceful, self-motivated, and capable of working independently while also contributing effectively within a collaborative, multidisciplinary research environment.

What we offer

Starting salary offered at £54,931 per annum, inclusive of London Allowance.

As well as the exciting opportunities this role presents, we also offer great benefits; visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Customer advert reference: B02-09474

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