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  Dr K Kyriakopoulos, Prof R Kalawsky  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The Wolfson School of Mechanical, Electrical and Manufacturing Engineering has seen 100% of its research impact rated as ‘world leading’ or ‘internationally excellent’, underlining the wide-ranging positive impacts that our research has on the world (REF, 2021).

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Find out more.

About the project

We invite applications for self-funded students to work in machine learning for safety-critical systems . The successful applicant will join the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University under the supervision of Dr. Konstantinos Kyriakopoulos and Prof. Roy Kalawsky.

The successful applicant will undertake high-quality research by investigating and prototyping new techniques and algorithms for processing and analysing real-time data from complex industrial systems. This includes the aerospace, self-driving cars and smart manufacturing domains. Such systems generate massive amounts of data that needs to be processed in as near real-time as possible. A common element among these domains is their safety-critical nature and their reliance on A.I. solutions that provide a degree of certainty for their prediction. In order to achieve this, data processing must occur very close to the system using what is known as ‘edge computing’. The successful applicant will investigate novel edge computing techniques for modelling different types of uncertainty that may be rooted in the collected data or the assumed model parameters.

If you are interested to apply, you are strongly encouraged to contact the primary supervisor (Dr. Kyriakopoulos) for more details and for raising your interest.

Entry requirements:

The successful applicant should have a 1st class or high 2:1 honours (or equivalent) degree in electronic/electrical engineering, computer science or a closely related discipline. An MSc with Distinction is desirable. Strong research abilities with appropriate coding skills are required.

Experience with machine learning techniques, experience with Python, C or MATLAB programming are desirable. The successful candidate is also expected to be an enthusiastic team player who can work both independently and communicate effectively with others.

Non UK applicants must also meet the minimum English language requirements, details of which are available on the Loughborough University website:

How to apply:

All applications should be made online. Under programme name, select ‘Mechanical & Manufacturing Engineering’. Please quote reference number: UF-KK-21.

Start date: October 2021, January 2022

Full-time/part-time availability: Full-time (3 years)

Fee band: UK: TBC; International: £24,100

Computer Science (8) Engineering (12) Mathematics (25)
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 About the Project