Research Fellow: Computational Fluid Dynamics (1264120PJ)

Applications are invited for a 8-month postdoctoral position to work with Prof Joerg Fliege and his team on novel computational methods for algorithmic optimisation of hybrid rocket engines. This is a project funded by the SPRINT Initiative “SPace Research and Innovation Network for Technology”, https://www.sprint.ac.uk/ , a unique partnership of top UK space universities, industry, government agencies and the investment community dedicated to supporting the growth of small to medium enterprises (SMEs) in the UK through the commercial exploitation of space data and technologies. The post is available now, and it is intended that the successful candidate will be in post as soon as possible.

The successful candidate should have a strong background in computational fluid optimisation, especially optimisation of continuous black-box functions. The candidate should have demonstrated an aptitude for independent research, and must have a PhD or equivalent professional qualifications and experience in operational research, applied mathematics, or a related discipline.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded, the title of Research Assistant will be assigned.

 The successful candidate will become a member of the Centre of Operational Research, Management Sciences and Information Systems (CORMSIS) https://www.southampton.ac.uk/cormsis/index.page at the University of Southampton, which is one of the largest OR/MS groups in the UK and top 50 in the world for Statistics and OR (QS World Rankings 2019). They will also become a member of the Department of Decision Analytics and Risk https://www.southampton.ac.uk/business-school/about/departments/decision-analytics-and-risk.page which unites experts from areas such as business analytics that harnesses today’s big data and produces information and knowledge to inform decisions; risk analysis that provides assessment and quantification of risk and an understanding of risk behaviour; knowledge management and information systems that capture and distribute information and knowledge for their effective use; and management science that provides a range of tools for scenario analysis, forecasting, optimisation, operations planning and simulation.

Application Procedure:

You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Hannah Farrance (Recruitment Team) on +44 (0) 23 8059 2507. Please quote reference 1264120PJ on all correspondence.

Closing Date: 19 May 2020
Post Type: Education, Research & Enterprise