Research Associate – University of Cambridge

MPOWIR Mentoring Physical Oceanography Women to Increase Retention; Cambridge; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading educational institution is seeking a computational applied mathematician to join their team, focusing on understanding turbulent mixing in stratified shear flows. This role involves running numerical simulations, conducting research, and assisting in the supervision of student projects. A PhD in mathematics or engineering is required, along with familiarity with advanced methodologies like generalized stability theory and machine learning. The position is fixed term for up to 3 years with a salary dependent on qualifications and experience.

Qualifications

• PhD in mathematics, engineering or a closely related area.
• Familiarity with at least one specified area of research required.
• Familiarity with instability, turbulence, and mixing in stratified shear flows desirable.

Responsibilities

• Run and analyze numerical simulations.
• Plan and manage own research and administration.
• Assist in supervising student projects.
• Engage with various methodological approaches.

Skills

Generalized stability theory

Dynamical systems theory

Reduced order modelling

Machine learning

Familiarity with turbulence

Education

PhD in mathematics or engineering

Job description

Overview

A position exists for a computational applied mathematician to work on developing a fundamental understanding of transition and ensuing turbulent mixing in stratified shear flows from 1 January 2020. The successful candidate will be based at the Department of Applied Mathematics & Theoretical Physics, University of Cambridge and will collaborate closely with Professor Colm-cille Caulfield and Professor Rich Kerswell.

Responsibilities

• Run and analyse numerical simulations and develop and conduct individual and collaborative research objectives.
• Plan and manage own research and administration, with guidance if required.
• Communicate material of a technical nature and build internal and external contacts.
• Assist in supervising student projects, developing student research skills, and plan/deliver seminars related to the research area.
• Engage with a range of methodological approaches including generalized stability theory, dynamical systems theory, reduced order modelling such as dynamic mode decomposition, and various aspects of machine learning.
• Demonstrated familiarity with at least one of these areas is essential; familiarity with instability, turbulence and mixing in stratified shear flows is desirable.

Qualifications

• The successful candidate will have or be about to receive a PhD in mathematics, engineering or a closely related area.
• Familiarity with at least one of: generalized stability theory, dynamical systems theory, reduced order modelling (e.g., dynamic mode decomposition), and machine learning.
• Familiarity with instability, turbulence and mixing in stratified shear flows is desirable.

Terms

• Fixed term: The funds for this post are available for up to 3 years.
• Closing date: 6 November 2019.
• Salary: Starting salary dependent on qualifications and experience.

How to apply

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Please indicate the contact details of two academic referees on the online application form and upload a full curriculum vitae, covering letter and a description of your recent research (not to exceed three pages). Please ensure that at least one of your referees is contactable at any time during the selection process, and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly.

Equality, diversity and inclusion

We particularly welcome applications from women and/or candidates from a BME background for this vacancy as they are currently under-represented at this level in our Department. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.