Postdoctoral Research Associate in AI for Musculoskeletal Conditions

Queen Mary University of London; Greater London; On-site; GBP 35,000 - 45,000; Full time

Job summary

A major educational institution in Greater London is seeking a Postdoctoral Research Associate specializing in AI for Musculoskeletal Conditions. The role involves researching predictive systems to stratify patients and enhance treatment recommendations using AI technologies like deep learning and CNNs. The candidate must have a PhD in a numerate field and experience with medical image analysis. This position offers a competitive salary, flexible working arrangements, and a commitment to diversity and inclusion in the workplace.

Benefits

Competitive salary

Generous pension scheme

30 days' leave per annum

Flexible working arrangements

Professional development opportunities

Qualifications

• Familiarity with medical image analysis using deep learning methods.
• Experience with relevant programming languages (Python).
• Supported by high-quality publications.

Responsibilities

• Research into AI-based predictive systems to stratify patients.
• Work closely with research-active clinicians on projects.
• Understand disease pathways and recommend personalized treatment.

Skills

Deep learning

Convolutional neural networks

Transformers

Multimodal AI

Fusion modeling

Medical image analysis

Programming (Python)

GitHub

Education

PhD in a numerate field

Job description

Postdoctoral Research Associate – AI for Musculoskeletal Conditions

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.

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.

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.

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