PhD iCASE Studentship in Machine Learning and Control for Cyber-Physical Systems Working with IBM

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:

• To apply for this position, please follow the application guidelines at: http://www.imperial.ac.uk/computing/prospective-students/courses/phd/phd-application-guidelines/
• In the application form, please write “iCASE Studentship in Machine Learning and Control for Cyber-Physical Systems” in the “Proposed Research Topic” field, and Julie McCann in the “Proposed Research Supervisor” field.
• A full CV
• A 1 page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.

For applications queries please contact Teresa Ng (t.ng@imperial.ac.uk)

Closing Date: 28th February 2023 (midnight)

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