Applications are invited for multiple positions at both Research Associate and Senior Research Associate levels as Mathematical-AI-Researchers (postdoctoral positions) in the Department of Applied Mathematics and Theoretical Physics as part of the new Infosys-Cambridge AI Lab to work at the interface of science and machine learning. The AI Lab has been created to facilitate research in the following themes: agentic AI (multi-agent systems, RL), theoretical machine learning, symbolic AI, and simulation-based approaches. The goal of the AI Lab is to drive scientific discoveries through automation and to build a mathematical understanding of machine learning using methods from theoretical physics that have wide applications beyond science. To facilitate these advances, we seek a talented, promising, and diverse group of researchers with a completed (or near completed) PhD in physics, machine learning, applied mathematics, or related fields. Your role as a Mathematical-AI-Researcher is to develop and conduct individual and collaborative research within one or more of the themes listed above and to identify and pursue synergies in an interdisciplinary context. You must be able to communicate material of a technical nature beyond your immediate scientific field (e.g. to policymakers or industry leaders) and to enable discussion of real-world applications. You may be asked to assist in the supervision of student projects, and the development of student research skills, provide instruction, or plan/deliver seminars relating to the research area. You will be expected to plan and manage your own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. As part of this role, you will be part of a team who will spend part of their time working in the Infosys London office in Canary Wharf. We anticipate close interaction with Infosys AI researchers within the agreed themes, however, they will not have any influence on the choice or direction of your research. There will be the opportunity to work on industry projects via consulting if desired, but this is not required, nor the main purpose of the role. The connection with Infosys will also help with creation of multi-media demonstrations of your research outputs which you can use to publicise your work. These positions come with generous travel allowances and computing expenses. Our contract with Infosys is initially for a three-year period, with funds paid annually. Given this, the contract will be for one year in the first instance, renewed annually. If you have any queries about the role, please email James Fergusson at jf334cam.ac.uk. We welcome applications from candidates able to take up their position on or before 1 October 2025. A start date as early as March 2025 may be possible by mutual agreement. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Please indicate the contact details of three academic referees on the online application form, and upload a full curriculum vitae, links to your highlighted publications (up to five), your research plan, and a short statement of why you want to be a Physics-AI fellow at the Infosys-Cambridge AI lab. Please ensure that at least one of your referees is contactable at any time during the selection process, and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly. The closing date for applications is 5 January 2025. Interview date: Week of January 20th 2025. For any questions about the application process, please contact LE44228maths.cam.ac.uk. Please quote reference LE44228 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and /or candidates from a BAME background for this vacancy as they are currently under-represented at this level in our Department. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Further information Further Particulars Apply online