Summary
The Technical University of Denmark (DTU) is offering a fully funded PhD scholarship focused on developing advanced digital twin technologies for the optimization and reliability of wind turbine operations. This project aims to integrate real-time data, physics-based models, and machine learning to create next-generation digital twins that can predict performance, detect faults, and extend the lifespan of wind energy assets.
Designation
PhD Scholar
Scholarship Details at a Glance
| Category | Details |
|---|---|
| Institution | Technical University of Denmark (DTU) |
| Department | DTU Wind and Energy Systems |
| Research Area | Digital Twins, Wind Turbines, Machine Learning, Physics-Based Modelling, Operations & Maintenance |
| Location | Risø Campus, Roskilde, Denmark |
| Eligibility | Master’s degree in relevant engineering or science fields |
| Funding | Fully funded (salary & benefits) |
| Duration | 3 years |
| Application Deadline | July 15, 2024 |
Research Area
The scholarship is dedicated to the field of next-generation digital twins for wind turbine operations. Key research themes include:
- Development of advanced digital twin architectures.
- Integration of high-fidelity physics-based models with real-time operational data.
- Application of machine learning and artificial intelligence for predictive maintenance and performance optimization.
- Focus on enhancing reliability, reducing downtime, and extending the operational life of wind turbines.
- Collaboration with industry partners and participation in national/international research projects.
Location
The PhD position is based at the DTU Risø Campus in Roskilde, Denmark. This campus is a hub for energy research and offers a vibrant international research environment.
Eligibility/Qualification
Candidates for this PhD scholarship must meet the following qualifications:
- A Master’s degree (or an equivalent qualification) in a relevant engineering or science discipline, such as Mechanical Engineering, Electrical Engineering, Wind Energy Engineering, Applied Mathematics, Computer Science, or a related field.
- A strong academic record, demonstrating excellence in coursework and thesis work.
- Proficiency in programming languages (e.g., Python, MATLAB) and experience with data analysis, numerical methods, and/or machine learning frameworks.
- Knowledge of wind energy systems, structural mechanics, fluid dynamics, or control systems is an advantage.
- Excellent English communication skills, both written and oral.
- Ability to work independently and as part of a collaborative research team.
Scholarship Description
This is a 3-year fully funded PhD scholarship providing a competitive salary and benefits in accordance with the collective agreement for PhD students at Danish universities. The successful candidate will join the esteemed DTU Wind and Energy Systems department, renowned for its cutting-edge research in wind energy. The PhD project will involve:
- Conducting original research leading to a PhD thesis.
- Publishing findings in top-tier international journals and presenting at conferences.
- Participating in relevant PhD courses and workshops.
- Collaborating with supervisors, fellow researchers, and industrial partners.
- Contributing to the development of innovative solutions for the wind energy sector.
How to Apply
Interested candidates should submit their applications online through the official DTU recruitment portal. The application package must include:
- A cover letter (max. one page) outlining your motivation for applying, research interests, and relevant experience.
- A detailed Curriculum Vitae (CV).
- Copies of your Master’s degree certificate and transcript of records.
- A copy of your Master’s thesis (if available) or a summary of your Master’s project.
- Contact information for two academic references.
Please ensure all documents are uploaded as a single PDF file, if possible.
Last Date for Apply
The deadline for submitting applications is 31 October 2026.
Apply Link
Apply for the PhD Scholarship at DTU
