International Fully funded PhD Studentship in Failure Prognostics Approaches in Wind Energy Applications, UK
Description
The University of Nottingham is proudly offering an International Fully funded PhD Studentship in Failure Prognostics Approaches in Wind Energy Applications, supervised by Dr. Rasa Remenyte-Prescott from the Faculty of Engineering.
This scholarship is open to UK/EU/overseas students and aims to integrate physics-based and data-driven models to enhance wind turbine performance.
The University of Nottingham is a prestigious public research university located in Nottingham, England. Renowned for its academic excellence and vibrant campus life, the university is home to a diverse student body from over 150 countries. It offers a wide range of undergraduate, postgraduate, and research programs across various disciplines. The university is known for its strong emphasis on research and innovation, consistently ranking among the top universities in the UK and globally.
Application Deadline: 01 October 2024
Brief Description
- University or Organization: University of Nottingham
- Department: Faculty of Engineering, Resilience Engineering Research Group
- Course Level: PhD
- Award: Fully-funded
- Access Mode: Online
- Number of Awards: 1
- Nationality: Domestic and International students
- The award can be taken in: the United Kingdom
Eligibility
- Eligible Countries: Open to all nationalities
- Acceptable Course or Subjects: The scholarship will be awarded in any subject offered by the Faculty of Engineering, with a focus on failure prognostics in wind energy applications.
- Admissible Criteria: To be eligible, applicants must meet the following criteria:
- Must have a first-class degree in engineering, mathematics, or a relevant discipline. A master’s degree is preferred; however, a 2:1 degree may be considered under exceptional circumstances.
- Enthusiastic and highly motivated to pursue research in wind energy applications.
- Meet the University of Nottingham’s English language requirements.
How to Apply
Interested candidates should apply online through the University of Nottingham’s postgraduate application portal. For further inquiries about the project and funding, please email Rasa Remenyte-Prescott at [email protected].
Benefits
This fully funded PhD studentship provides an excellent opportunity for students to engage in cutting-edge research in the field of wind energy. The project aims to develop a failure prognostics framework that integrates physics-based and data-driven models to predict the progression of defects and the performance of wind turbines. Students will gain hands-on experience with advanced techniques such as machine learning and have the opportunity to collaborate with industry partners, gaining valuable practical experience and industry connections.
