Research Associate: Operator Learning for Gradient Flows

University of Bath; Bath; On-site; GBP 34,000 - 48,000; Full time

Benefits offered by this job

Relocation allowance

Visa reimbursement

Pension schemes

Cycle to work scheme

Employee wellbeing programs

Job summary

The University of Bath invites applications for a Research Associate to work on operator learning for gradient flows with applications in imaging. The role sits within a collaboration with Doshisha University, Kyoto, with opportunities for regular research visits to Japan.

A PhD in mathematics or related field is required, with emphasis on convex analysis, inverse problems, and PDEs. You will engage in theoretical analysis and numerical implementations, and contribute to the project’s

Qualifications

• PhD in mathematics or closely related discipline desirable.
• Experience in convex analysis, inverse problems or PDEs is expected.
• Familiarity with operator learning and numerical implementation is beneficial.

Skills

Convex analysis

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 to work on operator learning for gradient flows with applications in imaging. The role sits within a collaboration with Doshisha University, Kyoto, with opportunities for regular research visits to Japan.

A PhD in mathematics or related field is required, with emphasis on convex analysis, inverse problems, and PDEs. You will engage in theoretical analysis and numerical implementations, and contribute to the project’s