About the role
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The post is funded by the UKRI AI-Hub INFORMED-AI to explore novel data compression methods building upon information theoretic foundations while exploiting recent advancements in deep learning architectures and training methodologies.
This full-time, fixed-term, in-person postdoctoral position is based at Imperial College’s South Kensington Campus in London, UK, and is funded for up to 23 months, starting in February 2026.
The Research Associate will be jointly supervised by Prof. Deniz Gunduz (Imperial College London) and Prof. Yiannis Kontoyiannis (Cambridge University), and will also have the opportunity to collaborate with Google DeepMind.
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What you would be doing
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Key responsibilities include:
- To take initiatives in the planning of research
- To undertake original research of international excellence
- To ensure the validity and reliability of data at all times
- To maintain accurate and complete records of all findings
- To write reports for submission to research sponsors
- To present findings to colleagues and at conferences
- To submit publications to refereed journals
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More information and application portal
https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=26499&jobTitle=Research+Associate+in+Data+Compression+in+the+Intersection+of+Machine+Learning+and+Information+Theory
