PhD Studentship in Adaptive AI: Cranfield University is offering a fully funded PhD studentship, sponsored by EPSRC Doctoral Landscape Awards and RES Group. This innovative research project aims to develop an AI-powered wind turbine control system utilizing Deep Reinforcement Learning and predictive maintenance strategies to enhance wind turbine performance and reliability.
Fully Funded PhD Studentship in Adaptive AI for Wind Control and Predictive Maintenance
Designation:
PhD Candidate
Research Area:
Adaptive Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), Predictive Maintenance for Wind Energy Systems
Location:
Cranfield University, UK
Eligibility/Qualification:
- A first or second class UK honours degree or an equivalent qualification in a relevant discipline such as electrical engineering, energy, or computer science.
- Background in electrical and computer engineering with strong programming skills.
- Self-motivated individuals with excellent communication skills to interact with various stakeholders.
- A keen interest in industrial research, particularly in renewable energy and AI applications.
Job Description:
The successful candidate will engage in the following activities:
- Develop a novel DRL-based wind turbine control system that optimizes performance and reduces mechanical stress.
- Collaborate with industry professionals at RES Group to gain practical experience with SCADA data and state-of-the-art simulation tools (OpenFAST, Digital Twin technology).
- Participate in a three-month secondment at RES Group and specialized training in Spain, focusing on predictive control and AI applications.
- Attend and participate in leading conferences related to wind energy and AI.
- Gain skills in AI, predictive maintenance, data science, and research commercialization while contributing to the critical goals of improving renewable energy efficiency.
How to Apply:
Interested candidates should complete the online application form available on Cranfield University’s website. For further inquiries, please contact Dr. Ravi Kumar Pandit at ravi.pandit@cranfield.ac.uk or call +44 (0) 1234 758471.
Last Date to Apply:
June 4, 2025
This scholarship provides a unique opportunity for individuals looking to make significant advancements in the field of renewable energy and adaptive AI technologies. Don’t miss your chance to contribute to cutting-edge research that supports global decarbonization efforts!
