Location: | Manchester |
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Salary: | £36,024 to £44,263 per annum, depending on relevant experience. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 20th May 2024 |
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Closes: | 10th June 2024 |
Job Ref: | SAE-025499 |
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): 10/06/2024
Contract Duration: 42 months
School/Directorate: Faculty Office - Science and Engineering
The University of Manchester (www.manchester.ac.uk) 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 https://www.se.manchester.ac.uk/.
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).
Enquiries about the vacancy, shortlisting and interviews:
Technical Report (line manager): Christopher Page, Christopher.Page@manchester.ac.uk
Academic Reports: Shan Zhong, Professor of Experimental Fluid Mechanics and Alistair Revell, Professor of Computational Engineering and Flow Physics
Email: shan.zhong@manchester.ac.uk , alistair.revell@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button above to find out more.
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