Job reference: SAE-025499
Salary: Grade 6 £36,024 to £44,263 per annum, depending on relevant experience
Faculty/Organisational Unit: Science and Engineering
Location: Oxford Road
Employment type: Fixed Term
Division/Team: FSE Technical Services
Hours Per Week: 1 FTE
Closing date (DD/MM/YYYY): 19/07/2024
Contract Duration: 42 months
School/Directorate: Faculty Office - Science and Engineering

Job Description

The University of Manchester ( is one of the largest single-site universities in the UK, with one of the biggest student communities. In total, 25 Nobel Prize winners have worked or studied here and 93% of our research was ranked as ‘world-leading’ or ‘internationally excellent’ by the Research Excellence Framework in 2021. Furthermore more than nine out of ten of our recent graduates go straight into employment or continued studies. The Faculty of Science and Engineering (FSE) comprises two multi-discipline Schools; the School of Engineering and the School of Natural Sciences, each led by a Head of School and Head of School Operations. The School of Engineering is made up of seven academic departments and the School of Natural Sciences is made up of five academic departments. For more information please visit

We are seeking an enthusiastic and proactive Technical Specialist in Computational Fluid Dynamics (CFD) and Data Science to join our dynamic technical operations team, which strives to provide a sector leading technical support for FSE and the wider University. The appointee will support the development and implementation of engineering software tools as part of an infrastructure project sponsored by a UKRI grant awarded to the National Wind Tunnel Facility (NWTF).

The primary objective is to develop a data integration platform that combines both experimental and computational data on the aerodynamic performance of a test subject. In practice this will involve the implementation of a CFD solver capable of high accuracy prediction of the flow field. A state-of-the-art dynamic body scanner will be used to extract geometry, while GPU accelerated compute algorithms will combine with surrogate models and experimental data to provide flow visualization and detailed performance analysis in-situ. This project provides an exciting opportunity to work with the Great Britain Cycling Team and the UK Sports Institute, contributing directly to their Olympic Programme and delivering new insights and opportunities to UK Sport’s celebrated ‘Marginal Gains’ strategy with potential to enable record-breaking results in international contest.

As this role involves research at a postgraduate level, applicants who are not an EEA national or a national of an exempt country and who will require sponsorship under the Skilled Worker route of the UK Visas and Immigration’s (UKVI) Points Based System in order to take up the role, will be required to apply for an Academic Technology Approval Scheme (ATAS) Certificate and will need to obtain this prior to making any official visa application UKVI)

What can you expect in return

The University will actively foster a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community.

What you will get in return:

  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Technical Report (line manager): Christopher Page,

Academic Reports: Shan Zhong, Professor of Experimental Fluid Mechanics and Alistair Revell, Professor of Computational Engineering and Flow Physics


General enquiries:


Technical support:

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.

Take a look around the company