
We seek to appoint a post-doctoral research associate in computational fluid structure interaction and flow control, who is ready to contribute to world-leading research and development at the interface of simulation and machine learning. The successful candidate will have completed a related PhD and will have a strong teamwork mentality and a growth mindset.
This project seeks to combine machine learning with an existing GPU-accelerated solver capable of exploring the potential for flow control via a series of flexible devices. Slender structures, either passive or actively actuated interact with a cross flow to induce favourable motion; in particular reducing drag or inducing a bulk flow.
The successful candidate will have demonstrable expertise in the area of fluid structure interaction and flow control. They should also be able to evidence extensive programming experience, the use of GPU computing, advanced data analysis skills and a track record of successful dissemination of their research via top journal papers and oral presentation at international conferences.
The project will be part of an ongoing collaboration with researchers at Aix Marseille University in France and will involve possibility for travel.
We are particularly keen to hear from researchers with experience in some or all the following areas:
What you will get in return:
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 People.Recruitment@manchester.ac.uk.
Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Alistair Revell
Email: 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.
Please see the link below for the Further Particulars document which contains the person specification criteria.