Application Deadline: September 3, 2024 (5pm)
Brunel University is inviting applications for a project which aims to develop an advanced sub-system level condition monitoring (CM) approach, leveraging AI and machine learning techniques, and integrating fault tree analysis (FTA), real-time FMECA (Failure Mode, Effects, and Criticality Analysis), and maintenance scheduling.
The student will join the Research Centre on AI: Social and Digital Transformation and Electronic and Computer Engineering PhD program at Brunel University London, much research of which focuses on development of environmentally green responsible AI models applied to real-world applications. The student will also benefit from support from an industrial mentor.
This project is partially funded by RACE (Remote Applications in Challenging Environments) RACE was founded in 2014 as part of the UK Atomic Energy Authority (UKAEA)’s fusion research and development programme – to create robots for operating in some of the most challenging environments imaginable. The studentship is for 3 years only and will be cover the fees and the UKRI minimum stipend of approximately £21237 per annum (subject to increase as stipulated by the UKRI).
Eligibility
- A first-class honours degree in AI, Computer Science, Computer Systems engineering, Engineering, or any relevant discipline
- Excellent written English and spoken communication skills
- Previous experience in research on AI related subjects and applications.
- Strong programming skills, skills in software development
- Good knowledge of signal processing will be an advantage.
Application Deadline
- Up-to-date CV
- A one A4 page personal statement setting out why the applicant is a suitable candidate (i.e.: your skills and experience)
- A copy of degree certificate(s) and transcript (s)
- Names and contact details for two academic referees
- Evidence of English language capability to IELTS 6.5 (minimum 6.0 in all sections), if applicable
The complete application should be sent to Professor Tatiana Kalganova via email to ta***************@br****.uk .
