Job description
Job summary
Applications are invited the role of Research Assistant/Associate in “Real-time scientific machine learning (wind tunnel experiments and computations)” fully-funded until 31 March 2025”) within the Flow Control Research Group (PI: Georgios Rigas) in the Department of Aeronautics at Imperial College London. This position is funded by a UKRI AI for Net Zero grant (“Real-time digital optimisation and decision making for energy and transport systems”): https://www.imperial.ac.uk/ai-net-zero/
The project is a collaboration led by Imperial College London together with the universities of Cambridge, Edinburgh and Oxford. The post holder will design wind tunnel experiments and interface them with existing real-time feedback control algorithms to improve the aerodynamic performance. The goal is to demonstrate efficient algorithms that learn turbulent dynamics and control strategies on-the-fly by interacting on real-time with wind-tunnel environments.
Funding is available for travelling to conferences, and access to IT and wind-tunnel facilities for research-related tasks. The candidate is expected to produce results suitable for presentation in international conferences and publication in leading peer-reviewed journals/conferences.
Duties and responsibilities
• Design, set-up and undertaking of wind tunnel experiments for evaluating the aerodynamic performance based on force, pressure and velocity measurements.
• Develop and deploy real-time feedback control methods for optimisation of road vehicle aerodynamics using National Instruments hardware and Labview/Python.
• Design and implement electromechanical active flow control actuators.
• Disseminate research with peer-reviewed publications and conference presentations (with the PI) .
Essential requirements
• PhD (or equivalent doctorate degree) in Engineering, Computing, or a closely related discipline.
• Experience in a broad range of techniques including theoretical and experimental fluid mechanics, control theory.
Further information
This post is a fixed-term contract until 31 March 2025.
Should you require any further details on the role please contact: Dr Georgios Rigas g.rigas@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
Documents
• AERO AIforNetZero_Rigas.doc
