Mathematical Foundations of Machine Learning
We invite applications for a Research Assistant / Research Associate position at the University of Cambridge to join the Prob AI Hub. The vision of the Prob AI hub is to develop a world-leading, diverse and UK-wide research programme in foundational aspects of AI. The hub will develop the next generation of mathematically rigorous, scalable and uncertainty-aware AI algorithms. This will be achieved by bringing together world-leading researchers across Applied Mathematics, Computer Science, Probability and Statistics, who engage with a range of non-academic partners; transforming the people pipeline; and producing a culture change within the mathematical sciences more broadly, so that cross-disciplinary mathematics research in AI is the norm.
This £8.5M programme is funded by EPSRC and brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Edinburgh, Manchester and Warwick. There is a 3-year position available at each of these six institutions. This advert relates to the PDRA position at the University of Cambridge. Interaction between the research groups at the six Universities will be strongly encouraged and resourced, with broad research projects to involve substantial cross-institutional collaborations.
The Research Assistant / Associate will join the Cambridge Image Analysis group at the Department of Applied Mathematics and Theoretical Physics, working with Prof. Carola-Bibiane Schönlieb. We are particularly interested in the following areas: mathematical imaging, inverse problems, mathematical foundations of deep learning, physics-informed learning, structure-preserving deep learning, and have interdisciplinary collaborations with clinicians, biologists and physicists on biomedical imaging topics, chemical engineers and plant scientists on image sensing, as well as collaborations with artists and art conservators on digital art restoration. For more information about the local research group, please see here: http://www.damtp.cam.ac.uk/research/cia/cambridge-image-analysis
You should have, or be close to completing, a PhD in Mathematics or a related discipline. The Prob AI Hub's research programme involves developing mathematical understanding of AI that will lead to more reliable, interpretable and uncertainty aware AI methods. We are keen to encourage applications from anyone with the mathematical skills needed to undertake such research. Experience working in AI, whilst desirable, is not absolutely required. Relevant mathematical background includes, but is not limited to: inverse problems, numerical analysis, partial differential equations and mathematical statistics. You will have demonstrated the ability to develop either new methodology or new mathematical understanding. We are particularly keen to encourage applicants with strong computational skills. A demonstrable ability to produce academic writing of the highest publishable quality is essential.
Fixed-term: The funds for this post are available for 3 years in the first instance.
Start date: As soon as possible, to be agreed upon.
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 two academic referees on the online application form and upload a full curriculum vitae and a cover letter in the Upload section of the online application. 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 31 March 2025.
Informal inquiries can be made by contacting Prof Carola-Bibiane Schönlieb at cbs31@cam.ac.uk.
For queries regarding the application process, please email LE45142@maths.cam.ac.uk.
Please quote reference LE45142 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.