📖Program Curriculum
Project details
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 Professor 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 AI 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 in applying, you are strongly encouraged to contact the primary supervisor (Dr. Kyriakopoulos) for more details and for raising your interest.
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