Research Associate

The role is associated with the Royal Society International Collaboration Award "Operator learning for gradient flows with applications in imaging" led by Dr Yury Korolev (University of Bath) and Dr Takashi Furuya (Doshisha University, Kyoto). Close collaboration with Doshisha University is envisaged and the successful candidate is expected to take part in regular research visits to Japan. The project concerns theoretical analysis and numerical implementation of operator learning methods for gradient-flow-type equations driven by maximally monotone operators.

As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days professional development pro rata per year.

A lower grade offer may be made (Grade 6) with comparable reduction in responsibilities and amendment in job title to Research Assistant, if a suitable applicant cannot be found to fill the Grade 7 position. Applicants will need to be within six months of their course completion date and will be promoted to Research Associate once their PhD has been awarded.

The successful candidate will have a PhD (or equivalent) in mathematics or a closely related discipline and have experience in at least one of the following areas (or a closely related area): convex analysis and optimisation, inverse problems, calculus of variations, partial differential equations, operator learning, functional analysis.

Benefits include: generous annual leave allowance with an additional 5 discretionary days; generous employer contributory pension schemes; cycle to work scheme; electric vehicle salary sacrifice scheme; staff discount at Team Bath gym; discounted postgraduate tuition and language courses; LinkedIn Learning and apprenticeship opportunities; local discounts including free entry to the Holburne Museum in Bath; relocation allowance; visa reimbursement and interest-free loan to help with immigration expenses; employee assistance services through Health Assured including access to the Wisdom app; staff support groups and wellbeing networks.