Operator-Learning for Gradient Flows — Research Associate

1000scholars; Bath; On-site; GBP 39,000 - 46,000; Full time

Benefits offered by this job

Generous annual leave

Pension scheme

Cycle to work

EV salary sacrifice

Staff gym discount

Postgraduate tuition discounts

Job summary

The University of Bath invites applications for a Research Associate in mathematics, focusing on operator learning for gradient-flow-type equations driven by maximally monotone operators. You will join an international collaboration with Doshisha University, including regular visits to Japan, and contribute to theory and numerical implementation.

As a member of Research Staff, you can expect professional development time and progression opportunities, with a Grade 7 appointment and a path to

Qualifications

• PhD (or equivalent) in mathematics or a closely related discipline.
• Experience in at least one of convex analysis, optimisation, inverse problems, calculus of variations, PDEs, operator learning or functional analysis.

Skills

Mathematics

Convex analysis

optimisation

Inverse problems

Calculus of variations

Partial differential equations

Operator learning

Functional analysis

Education

PhD in mathematics or closely related discipline

Job description

The University of Bath invites applications for a Research Associate in mathematics, focusing on operator learning for gradient-flow-type equations driven by maximally monotone operators. You will join an international collaboration with Doshisha University, including regular visits to Japan, and contribute to theory and numerical implementation.

As a member of Research Staff, you can expect professional development time and progression opportunities, with a Grade 7 appointment and a path to