PhD Studentship: AI-Enabled Maintenance: Join our cutting-edge research project at Brunel University London, focusing on developing advanced AI techniques for condition monitoring in Fusion Remote Maintenance Systems (FRMS). This project aims to enhance the reliability and safety of fusion powerplants through the integration of AI, machine learning, fault tree analysis, and maintenance scheduling.
AI-Enabled Subsystem-Level Condition Monitoring in Fusion Remote Maintenance – PhD Studentship
Designation: PhD Student
Research Area: AI, Machine Learning, Condition Monitoring, Fusion Remote Maintenance
Location: Brunel University London, United Kingdom
Eligibility/Qualifications:
- First-class honours degree in AI, Computer Science, Computer Systems Engineering, Engineering, or a relevant discipline.
- Excellent written and spoken communication skills in English.
- Previous experience in AI-related research and applications.
- Strong programming and software development skills.
- Knowledge of signal processing is advantageous.
Job Description: The successful candidate will work within the Electronic and Electrical Engineering Department at Brunel University London. They will be involved in developing AI models for subsystem-level condition monitoring in Fusion Remote Maintenance Systems. The student will collaborate with research mentors focusing on Green AI, Trustworthy AI, and Real-world AI applications.
How to Apply:
- Submit your application to Prof Tatiana Kalganova via email at tatiana.kalganova@brunel.ac.uk.
- Required documents:
- Up-to-date CV
- A one A4 page personal statement highlighting your suitability for the role
- Copy of degree certificate(s) and transcript(s)
- Contact details of two academic referees
- Evidence of English language proficiency (IELTS 6.5 minimum)
- Applications are open to UK nationals, EU settled/pre-settled status, and students with indefinite leave to remain or enter.
- Check the Student Financial Policy website for eligibility details.
- The scholarship covers home fees and provides a UKRI minimum stipend of approximately £21,237 per annum.
Last Date for Application: 3rd September 2024 @ 5pm
Don’t miss this opportunity to join our vibrant research community and contribute to the advancement of AI technology in Fusion Remote Maintenance Systems. Apply now and make a difference in the future of sustainable nuclear energy!
