Job Description

Ref Number

B02-09390

Professional Expertise

Research and Research Support

Department

School of Life & Medical Sciences (B02)

Location

London

Working Pattern

Full time

Salary

43,981-52,586

Contract Type

Fixed-term

Working Type

On site

Available for Secondment

No

Closing Date

05-Oct-2025

About us

------------


This project aims to apply modern machine learning methods to model the risk of prostate cancer on multimodal imaging data sets and predict presence, progression and location of prostate cancer from multiparametric MRI scans. The successful candidate will join the UCL team at the Department of Medical Physics and Biomedical Engineering, which is part of the UCL Hawkes Institute. The Institute is supported by well-equipped computational laboratories and a team of multidisciplinary expertise.



The UCL Department of Medical Physics and Biomedical Engineering hosts 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. This provides a highly stimulating multidisciplinary environment for learning and scientific research. In addition to our research activities, we run a variety of undergraduate and graduate degree programmes. The UCL Department of Computer Science has over 100 faculty members and 1000 students. It is among the highest rated computer science departments in the UK on REF research power and grade-point average.

About the role

------------------



We invite applications from strong candidates who have experience in computational algorithms for medical image analysis or computer vision, ideally with experience in deep learning, computational statistics, and medical image registration. Experience in computational modelling disease is essential. Knowledge and experience in deep learning projects with real-world medical data is desirable. The successful applicant will be responsible in curating clinical data and developing machine learning approaches and software, such as medical image registration and disease modelling, for prostate cancer imaging and clinical data. The post is funded for 12 months in the first instance. For informal inquiry of the project details, please contact Dr Yipeng Hu - yipeng.hu@ucl.ac.uk.


Please note that the earliest start date for this role is 01-11-2025.

This role is an open-ended contract with a funding end date of 31-10-2026.

Research Fellows - 'Appointment at Grade 7 (44,480) is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at 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.

This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

About you

-------------



The successful candidate will be expected to make significant contributions to the development and implementation of advanced AI methods for medical image analysis, specifically focusing on multiparametric MRI data for prostate cancer. They will lead the design, execution, and evaluation of deep learning models, including segmentation, registration, and multimodal data integration.



A core performance objective is to develop robust and clinically relevant computational tools that enable the identification of prostate cancer risk, aligned with our broader programme on AI-assisted precision diagnostics. To succeed in this role, the postholder must demonstrate strong programming skills in Python and/or C++, and practical experience with deep learning frameworks such as TensorFlow or PyTorch.



They will have a proven track record of developing machine learning algorithms for medical imaging applications, including experience with complex data types such as histopathology, radiology, and other clinical sources. Prior work in image registration, multimodal fusion, or clinical decision support systems is highly desirable.



The candidate should hold a PhD or equivalent research degree in Mathematics, Engineering, Computer Science, Physics, or a related discipline. They will have authored peer-reviewed publications as first author and show evidence of expertise in deep learning, image computing, and statistical modelling. The ability to independently design, conduct, and report high-quality research is essential, along with excellent communication skills and a collaborative mindset. Experience with interdisciplinary projects and clinical translation of medical technologies will be a strong advantage.



The postholder is expected to contribute to internal discussions, collaborative meetings, and dissemination of findings through conference presentations and journal publications. They will also support grant development, research reporting, and mentoring of junior researchers, helping to sustain a productive and inclusive research environment. 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 cover letter attachment 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

-----------------


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


41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)

Additional 5 days' annual leave purchase scheme

Defined benefit career average revalued earnings pension scheme (CARE)

Cycle to work scheme and season ticket loan

Immigration loan

Relocation scheme for certain posts

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/rewards-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

-------------------------------------------------------


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; LGBTQI+ 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/