Job description
Location: South Kensington Job Summary The role will involve developing PyFR (www.pyfr.org) and applying it to optimisation of turbomachinery components. It will also involve collaboration with a range of project partners across Europe, including DLR. Applicants should have expertise in high-order computational fluid dynamics, and software development for HPC (including experience of writing code for GPUs). Duties and responsibilities Develop and use PyFR (www.pyfr.org) for optimisation of turbomachinery using high-fidelity scale-resolving simulations Assist with the analysis of data Ensure the validity and reliability of data at all times Maintain accurate and complete records of all findings Assist with the writing of reports to research sponsors Present findings to colleagues Provide advice to other staff and students Assist with the publication of findings Attend relevant workshops and conferences as necessary Develop contacts within the College and the wider community Promote the reputation of the Group, the Department and the College Take initiatives in the planning of research Direct the work of small research teams Write reports for submission to research sponsors Submit publications to refereed journals Provide guidance to staff and students Provide guidance to PhD Students Contribute to bids for research grants Conduct and plan own scientific work with appropriate supervision. Maintain highly organised and accurate record of experimental Work. Actively participate in the research programme of the Group Publish in high quality journals and to present data at national and international meetings. Participate in Group research meetings and internal seminars. Collaborate with other allied scientists within Imperial College and elsewhere in London and abroad, as appropriate. Contribute to the smooth running of the Group’s laboratories and, facilities with other scientists, clinicians, technicians and students within the laboratories. Assist in the supervision of undergraduate and postgraduate research students and research assistants as required. Essential requirements Those appointed at Research Associate level Hold a PhD in computational fluid dynamics or a closely related discipline, or equivalent research, industrial or commercial experience. Those appointed at Research Assistant level A first / masters degree (or equivalent) in aerospace engineering, mathematics, physics, computing, mathematics. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant For both levels Expertise in high-order computational fluid dynamics and software development for HPC (including experience of writing code for GPUs). Further Information Should you require any further details on the role please contact Peter Vincent (p.vincent@imperial.ac.uk ). For technical issues when applying online please email recruitment@imperial.ac.uk For queries regarding the recruitment process please contact Lisa Kelly: l.kelly@imperial.ac.uk Closing date: 4th February 2024 To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG02895.