Research Associate in Mathematical and Computational Foundations of Artificial Intelligence at Imperial College London

Job Summary

The position is funded by the newly inaugurated EPSRC Artificial Intelligence Hub “Mathematical Foundations of Intelligence: An Erlangen Programme” which aims to establish and study pure mathematical principles (based on algebra, geometry, and topology) for artificial intelligence and machine learning.

Duties and Responsibilities

We are seeking a highly motivated postdoctoral research associate to work within the framework of the recently-launched EPSRC-funded national AI Hub to establish Mathematical and Computational Foundations of AI. The Hub is led by Prof. Michael Bronstein (Oxford Computer Science); the holder of the post will work in close collaboration with the Imperial investigators, Dr. Anthea Monod (Imperial Node Lead), Profs. Tom Coates and Jeroen Lamb in cross-network collaboration with Prof. Heather Harrington (Oxford Mathematics and Max-Planck Institute of Molecular Cell Biology and Genetics).

This position offers a unique opportunity to contribute to cutting-edge research at the intersection of pure mathematics and AI. The successful candidate will engage in innovative projects aimed at advancing our understanding of AI through mathematical analysis and exploration and benefit from training and networking opportunities (including potential secondments with industry and government) that our multi-institutional Hub offers as a full-fledged trainee of the Hub.

Essential Requirements

The essential requirements for this post are as follows:

• Hold, or be near completion of, a PhD (or equivalent) in Mathematics, Computer Science, or related field
• A strong mathematical background in fields relevant to AI and machine learning
• Proficiency in programming languages, packages, and software commonly used in AI and machine learning research
• Expertise and a proven track record of research in algebra, geometry and/or topology
• Expertise and a proven track record of research in machine learning
• Equal proficiency in pure mathematics (ability to read and write complex mathematical proofs) and computation (strong coding and data analytic abilities)
• Clear evidence of outstanding promise and originality in research, with a good publication record, commensurate with career stage
• Track record of successful interdisciplinary collaboration, including mentoring project students.

Further Information

This is a full time, fixed term for 36 months. You will be based at South Kensington Campus. The expected start date is 1 September 2024 or soon thereafter.

Please note the maximum salary on appointment is £49,305 per annum.

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

In addition to completing the online application, candidates should attach:

• A full CV,
• A 2-page research statement describing why the candidate’s expertise is relevant to this position and future research plans;
• Contact details for three referees; and
• Up to 3 example publications or preprints.

For any specific queries regarding the post please contact Dr. Anthea Monod a.monod@imperial.ac.uk.