Research Associate in Mathematical and Computational Foundations of Artificial Intelligence

The position is funded by the £10M EPSRC-funded 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., We are seeking a highly motivated postdoctoral research associate to work within the framework of the £10M EPSRC-funded national AI Hub to establish Mathematical and Computational Foundations of AI, which is co-directed by Dr. Anthea Monod. The successful candidate will work directly with Dr. Monod and in collaboration with the Durham University node (Prof. Jeff Giansiracusa and Dr. Yue Ren) to establish tropical geometric foundations for graph neural networks.

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.

Do you have experience in Node.js?, Do you have a Doctoral degree?, * A PhD (or equivalent) in Mathematics, Computer Science, or related field

• A strong mathematical background in fields relevant to AI and machine learning
• Strong proficiency in programming languages, packages, and software commonly used in AI and machine learning research
• Expertise and a proven track record of research in algebraic geometry and especially tropical geometry and polyhedral geometry
• Expertise and a proven track record of research in computational algebraic geometry and machine learning
• Equal proficiency in pure mathematics (ability to read and write complex mathematical proofs in algebraic geometry, especially tropical geometry) and computation (strong coding and data analytic abilities, expertise in computational complexity theory)
• 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

• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: Gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression
• Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes)., * Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range, £43,003 - £46,297 per annum.

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