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

Job Description

Machine Learning Control seeks to mix intelligent systems with control theory to optimise complex nonlinear systems.  This studentship aims to carry out research that models and controls the physical system under focus but also the cyber-physical interaction of this system with the underpinning sensor network to jointly produce new optimisations and protocols. This PhD 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: or email research related enquiries to Prof J.A. McCann

How To Apply

To apply for this position, please follow the application guidelines at:

In the application form, please write iCASE Studentship in the “Proposed Research Topic” field, and J.A. McCann in the “Proposed Research Supervisor” field. Early applications are encouraged.

This position will be based at the South Kensington campus in central London. Applicants are advised to visit for general information on becoming a PhD student in the Department of Computing. We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

Applications must include:

 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 (

 Closing Date: August 25th 2022 (midnight)


Studentship: Untaxed bursary of £18,062 per annum (2022/23 figure including London weighting plus home fees) – Start Date October 2022

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