Opportunity ID
4192
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
£37,472 - £50,685 per annum
Job Pack
JP 4192 - PDRA in Generative and Multimodal AI for Clinical Data.pdf – 581KB
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Contact Details
Professor Venet Osmani, v.osmani@qmul.ac.uk
About the Role
About the RoleWe 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 generative, and multimodal AI and its application to health data, and we are seeking candidates with experience of generative modeling, including methods based on autoencoders, generative adversarial networks (GAN) and diffusion models. The role is funded for 24 months in the first instance. About YouYou 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 with generative modelling, including Autoencoders, GANs or Diffusion models, ideally applied to clinical data. Experience with multimodal AI methods is also welcome. How to ApplyPlease submit an application via the Queen Mary Portal and upload a copy of your CV. About the InstituteThe 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 MaryAt 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. BenefitsWe 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.This role is supported by AI Futures Grants, a UK Government scheme designed to help the next generation of AI leaders meet the costs of relocating to the UK. AI Futures Grants provide financial support to reimburse relocation costs such as visa fees, the immigration health surcharge and travel/subsistence expenses. Successful candidates for this role may be able to get up to £8,000 to meet relocation costs, subject to terms and conditions.
Closing Date
08/12/2024, 23:55
