Research Associate in Numerical Analysis and Probabilistic AI

We invite applications for a Post Doctoral Research Associate position to join the EPSRC-funded Probabilistic (ProbAI) Hub. The vision of the ProbAI Hub is to develop a world-leading, diverse and UK-wide research programme in probabilistic AI, developing the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved by bringing together world-leading researchers from a range of underpinning disciplines, including probability and statistics, applied mathematics and numerical analysis, and other areas of computational science. The Hub's research activities are centered around five key themes. For more information, see:

• https://www.probai.uk
• https://www.probai.uk/research-themes/

The recruited PDRA will join a large existing inter-disciplinary research group comprising academic staff, PDRAs and PhD students from the Universities of Lancaster, Bristol, Cambridge, Edinburgh, Manchester and Warwick., This numerical analysis-focused PDRA position, will be based at the University of Manchester, but co-supervised by lead researchers at both the University of Manchester (Professor Catherine Powell) and the University Edinburgh (Dr. Aretha Teckentrup). Funding will be available to visit the University of Edinburgh and to attend Hub-sponsored events, including problem solving weeks, conferences and internal retreats.

We are seeking a candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter-disciplinary settings, who will contribute to the Hub's research efforts under the following themes:

• Structure-constrained and Informed AI
• Probabilistic and Uncertainty-aware Methods for Trustworthy and Green AI

A range of potential projects are available, depending on the level of expertise and background of the successful candidate. A representative list of possible topics is given in the Further Particulars document below.

Applicants are encouraged to include in their application a covering letter or statement outlining how they feel they can contribute to the research of the Hub (as outlined in the Further Particulars document) and what sort of projects they are most interested in. This should be collated with a CV as one pdf document under 1 MB when upload.

Do you have experience in Machine learning?, Do you have a Doctoral degree?

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out more here