Postdoctoral Research Associate in AI for Musculoskeletal Conditions

Postdoctoral Research Associate in AI for Musculoskeletal Conditions

Opportunity ID  

8265

Faculty  

University Research Institute

Location  

QM London

Contract Type  

Fixed Term

Duration  

22 months

Working Patterns  

Full Time

Full Time Equivalent (FTE)

 

1.00

Salary Range  

£38,419 - £51,755 per annum

Job Pack  

JP 8265 PDRA in AI for Musculoskeletal Conditions.pdf – 644KB Opens in a new window

Contact Details  

Greg Slabaugh, Professor of Computer Vision and AI & Director of the Digital Environment Research Institute

g.slabaugh@qmul.ac.uk

About the Role  

About the Role

We are seeking a Postdoctoral Research Associate in AI for Musculoskeletal Conditions for research into AI-based predictive systems to stratify patients, understand disease pathways, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging datatypes include ultrasound, x-ray, and whole-slide images with different stains. You would be part of a technical team working closely with research-active clinicians.

The post is funded by the NIHR Barts Biomedical Research Centre under the Precision Musculoskeletal Care Theme, aiming to improve healthcare delivery and patient outcomes for musculoskeletal conditions of particularly high burden in East London.

About You

The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages (Python), and be supported by high quality publications

About the Institute

The role will be based in the Digital Environment Research Institute (DERI), Queen Mary’s flagship University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the University’s participation in The Alan Turing Institute, the UK national institute for data science and AI.

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits

We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Closing Date  

04/01/2026, 23:55 

Apply