Research Associate in Numerical Analysis and Scientific Computing, Imperial College London

MPOWIR Mentoring Physical Oceanography Women to Increase Retention; London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading university in the UK is seeking a Research Associate to work on time-parallel methods for atmosphere and ocean simulation. The role requires a PhD in Applied Mathematics and research experience in numerical discretizations. Responsibilities include implementing new methods and collaborating with multiple universities. This position offers opportunities for innovative research and development in a supportive environment.

Qualifications

• PhD (or equivalent) in Applied Mathematics or closely related field.
• Research experience in design and analysis of numerical discretizations.
• Clear evidence of outstanding promise and originality in research.

Responsibilities

• Design, implement, and analyze time-parallel methods for ocean flow.
• Communicate with collaborators in other universities.
• Use the run-time code generation library Firedrake.

Skills

Research experience in numerical discretizations

Excellent written communication

Ability to develop new concepts

Education

PhD in Applied Mathematics or related field

Job description

Overview

Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London. The position is funded by the Natural Environment Research Council and will be part of a multi-university group in the UK (Imperial College London, Exeter, Leeds, Surrey) focusing on time-parallel numerics for atmosphere and ocean simulation.

Responsibilities

The project will involve working closely with Dr Colin Cotter on the design, implementation and analysis of time-parallel methods for atmosphere and ocean flow, focusing on proof-of-concept studies using the rotating shallow water equations on the sphere. The spatial discretisation will be based on compatible finite element methods, implemented using the run-time code generation library Firedrake, also developed at Imperial College London. The postholder will be required to communicate with and visit our collaborators in other universities and our partners at the Met Office.

Essential requirements

• A PhD (or equivalent) in Applied Mathematics or closely related field
• Research experience in design, analysis and implementation of numerical discretisations of partial differential equations
• Clear evidence of outstanding promise and originality in research, with a good publication record, commensurate with career stage
• A strong background in numerical discretisations for partial differential equations
• Excellent written communication skills and the ability to write clearly and succinctly for publication
• Ability to identify, develop and apply new concepts, techniques and methods

Closing date: 7 July 2019