Academic ConnectResearch Assistant or Associate in Machine Learning for Imaging
Job number
ENG03589
Faculties
Faculty of Engineering
Departments
Department of Computing
Salary or Salary range
£43,003 - £56,345 per annum
Location/campus
South Kensington Campus - On site only
Contract type work pattern
Full time - Fixed term
Posting End Date
3 Jul 2025
About the role
The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an ambitious new project on the safe deployment of medical imaging AI. The purpose of the role is to conduct world-leading research on AI for medical imaging. The goal is to develop methodologies and computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not limited to, disease detection in chest radiographs and cancer detection in digital mammography.
For further information on Prof Ben Glocker’s research, please see http://wp.doc.ic.ac.uk/bglocker/projects/.
What you would be doing
The post offers an exciting opportunity for conducting internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming for impact by addressing computational problems and real-world healthcare challenges. The researcher will be responsible for developing and implementing new approaches, testing and evaluating methods on real clinical data, open-sourcing experimental software prototypes, writing scientific papers, and presenting research at the leading international conferences. There will be ample opportunities for national and international collaborations with clinicians, regulators, policymakers, and industry partners.
What we are looking for
You must have a strong background in machine learning, computer vision, and medical image analysis, with publications in leading international conferences/journals. Candidates should have experience in at least one of the following topics:
- Performance monitoring.
- Data distribution shift detection.
- Bias & fairness assessment.
- Stress testing & model robustness.
- Generative imaging models.
Please see job description for a full list of requirements.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant, salary range £43,003 - £46,297 per annum.
What we can offer you
You will have the opportunity to continue your career at a world-leading institution. Imperial College is consistently in the top 10 world university rankings with the Department of Computing ranked top of the 2021 UK REF assessment.
You will receive a sector-leading salary and remuneration package (including 38 days off a year) and a comprehensive early career development support package, including 10 training and development days.
Further information
Full-time, Fixed term contract (12 months), flexible start date.
In addition to completing the online application, candidates should attach:
- A full CV, with a list of all publications.
- A 1-page document explaining: (1) why you are interested in this position, and (2) how your experience is relevant to some or all of the topics listed above.
Informal enquiries related to the position should be directed to Prof Ben Glocker: b.glocker@imperial.ac.uk
For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk
Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
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About Imperial
Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.
Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.
As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.
This is your chance to help shape the future. We hope you’ll join us at Imperial College London.
Our Culture
We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.
Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.