Postdoctoral Research Associate in Multiscale, Multimodal, Foundation Models for Medicine and Healthcare

Opportunity ID 

6402

Faculty 

University Research Institutes

Location 

QM London

Contract Type 

Fixed Term

Duration 

24 months

Working Patterns 

Full Time

Full Time Equivalent (FTE) 

1.00

Working Hours (Per Week) 

35.00

Salary Range 

£37,889 - £51,040 per annum

Job Pack 

[Opportunity 6402 - Postdoctoral Research Associate - Job Pack.pdf – 581KB Opens in a new window](https://qmul-jobs.tal.net/vx/lang-en-GB/mobile-0/appcentre-1/brand-4/xf-070d101aed1a/candidate/download_file_opp/6402/163991/1/0/e8df2ae4f9049277d9276a9f068606490d0dde8f)

Contact Details 

Professor Venet Osmani, v.osmani@qmul.ac.uk

About the Role

About the Role

We are looking for a highly motivated post-doctoral research associate (PDRA) to join the research group of Professor Venet Osmani. You will be a key member of the Osmani Lab at DERI, contributing to our development and the success of our mission, and we are looking for individuals who are enthusiastic at the idea of contributing to the building of Professor Osmani's lab at Queen Mary.

Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data.

The role is funded for 24 months in the first instance.

About You

About You

You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment.

About the Institute

About the Institute

The role will be based in the Digital Environment Research Institute (DERI). DERI is 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

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

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 

03/07/2025, 23:55