Qualification Type: | PhD |
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Location: | London |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | Full Fees and Stipend provided |
Hours: | Full Time |
Placed On: | 7th February 2023 |
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Closes: | 28th February 2023 |
Full Fees and Stipend provided
Start Date April 2023
Control systems can be found everywhere from modern cars to water networks. This studentship’s aim is to use Machine Learning to optimise the control process and the research will be co-supervised by machine learning experts in IBM.
You will be joining a world-leading team. Imperial College is consistently in the top 10 world university rankings with the Department of Computing ranked top of the Research tables in the 2021 UK REF assessment. The PhD student will join the AESE group who recently won the 2020 President’s Medal for Outstanding Research.
It is expected that you will have an Advanced Masters degree with Distinction (or equivalent First-Class degree with relevant experience) in Computer Science, Process Control Systems, Computer Systems Engineering or Electrical and Electronic Engineering, or similar. You must have excellent communication skills and be able to organise your work and prioritise it to meet deadlines. All applicants must be fluent in spoken and written English.
For further information see: http://wp.doc.ic.ac.uk/aese/ or email research related enquiries to Prof J.A. McCann j.mccann@imperial.ac.uk
How to apply
Applications must include:
For applications queries please contact Teresa Ng (t.ng@imperial.ac.uk)
Closing Date: 28th February 2023 (midnight)
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