Research Assistant / Associate in Scientific Machine Learning
Applications are invited for two Research Assistant / Associate positions, one based in the Department of Aeronautics and the other in the Department of Mathematics. These two posts are funded by a UKRI AI for Net Zero grant on (Real-time digital optimisation and decision making for energy and transport systems, EP/Y005619/1). The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the...
Job listing information
- Reference ENG02625
- Date posted 19 May 2023
- Closing date 2 June 2023
Applications are invited for two Research Assistant / Associate positions, one based in the Department of Aeronautics and the other in the Department of Mathematics. These two posts are funded by a UKRI AI for Net Zero grant on (Real-time digital optimisation and decision making for energy and transport systems, EP/Y005619/1). The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the realization of real-time digital twins of engineering systems. Applications involve fluid mechanics and nonlinear partial differential equations.
You will develop physics-aware machine learning for engineering systems with fluids and nonlinear partial differential equations, while taking into account the efficiency and robustness of the machine learning algorithms. There will be possibilities of close interactions with the Alan Turing Institute, Imperial I-X, the Research Centre in Data-Driven Engineering, and the PIs’ relevant academic network in the UK, EU, and US. Funding is available for travelling and IT facilities for research-related tasks.
Duties and responsibilities
- Develop physics-aware machine learning methods for optimization of unsteady flows and nonlinear partial differential equations
- Disseminate research with peer-reviewed publications and conference presentations
- Assist other researchers and the Principal Investigators
PhD (or equivalent doctorate degree) in Engineering, Applied Mathematics, Computing, or a closely related discipline.
A first / masters degree (or equivalent) in Engineering, Applied Mathematics, Computing, or a closely related discipline.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
A full list of duties, responsibilities and person specification can be found in the job description.
These posts are full and fixed-term until 31 March 2025 and based at South Kensington Campus.
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About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
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We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
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