Job Description

Ref Number

B04-06594

Professional Expertise

Research and Research Support

Department

UCL BEAMS (B04)

Location

London

Working Pattern

Full time

Salary

See advert text

Contract Type

Fixed-term

Working Type

Hybrid

Available for Secondment

No

Closing Date

11-Oct-2025

About us

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he project is embedded within the Computational Cancer Collaboratorium and AI in Cancer Research group at UCL, a highly multi-disciplinary team of renowned experts in the field of cancer imaging. In addition, this project is unique as it ties together world class expertise from national/international research centers: University College London, University College London Hospital, UCL Partners Network as well as the National Physical Laboratory. The available infrastructure and expertise within this project will provide a strong basis for scientific discoveries at the peak of the current state-of-the-art. As a member of UCL, the successful candidate will also have access to a wealth of advanced courses for facilitating research and soft skills to advance as an independent researcher. The Department of Medical Physics and Biomedical Engineering is one of the largest Medical Physics and Biomedical Engineering departments in the UK. The Department is proud to host internationally leading research groups covering a broad range of activities and spread over several sites. Our staff and students have a diverse range of interests and expertise, covering many areas of physics, engineering, medicine, physiology, computer science, and mathematics. Our focus is on excellent academic research in identifying new technologies and methods for diagnosis, treatment and management of diseases using medical imaging, physiological monitoring, and the development of implanted devices. We also offer a range of undergraduate and postgraduate degrees.

About the role

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Applications are invited for a Research Engineer position to join the programme of AI in Cancer Imaging in the Collins-Fekete's lab at UCL. The position is part of the UCL Therapeutic Acceleration Support which involves developing regulatory pathway to deploy AI solution in the NHS Clinical Environment. The post offers a unique opportunity to conduct developments and research at an international leading university and contribute to the developments of AI in digital pathology.



Prof. Collins-Fekete research group is internationally recognised as a an expert of AI Cancer Diagnostic. The appointed person will work in a multidisciplinary team led by Prof. Colins-Fekete and work in connection with the other teams of the consortium. The postholder will be required to carry out research in the area of regulatory pathway for AI algorithms, including designing and running experiments, recording, analysing and writing up the results (as part of a research team).



The role will also involve preparing and presenting findings of research activity to colleagues for review purposes, contributing to the drafting and submitting of papers to appropriate peer-reviewed journals, preparing progress reports on research for funding bodies as required and contributing to to the overall activities of the research team and department as required.

About you

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The successful candidate will have a MSc degree in a relevant subject, such as computer science, engineering, physics, mathematics, or bioinformatics. They are likely to have a demonstrated impact in AI and imaging cancer, such as, image reconstruction, and/or deep learning. Candidates should have excellent programming skills. Applicants must have experience in presenting complex scientific concepts and content both in writing and verbally. They will show a strong commitment to their research topic and demonstrate excellent collaborative interpersonal skills with an ability to work co-operatively in a multidisciplinary setting. The post-holder will be expected to have the ability to assist other members of the team, support application to external fundings, collaborate with external research groups, manage the database, and curate data, as well as contributing to the broader radiotherapy research activity at UCL and UCLH. Your application should include a CV and a Cover Letter: In the Cover Letter please evidence how you meet the essential and desirable criteria in the Person Specification part of the . Please upload this in the attachments section of the application form. By including a Cover Letter, you can leave blank the 'Why you have applied for this role' field in the online application form, which is limited in the number of characters it will allow.)

What we offer

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As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:


41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days) Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.



This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff.



Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.



The advert will close on 10-01-2025 at 23:59 GMT, however we may close applications early if we receive a high volume of applications. Early application submission is recommended. A job description and person specification can be accessed at the bottom of this page. If you have any queries about the role, please contact c.fekete@ucl.ac.uk. If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact Dr. Collins-Fekete at c.fekete@ucl.ac.uk.

Our commitment to Equality, Diversity and Inclusion

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As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.



We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.



These include people from Black, Asian and ethnic minority backgrounds; disabled people; and for our Grade 9 and 10 roles, women.



You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/