PhD scholarship in Design of automatic maintenance recommendation system for wind turbine compo[...]
4 months ago
The objective of this PhD project is to design an automated component monitoring and maintenance recommendation system for bolts. The system will monitor the bolt tension and automatically generate work orders for bolts and tower sections that need to be re-tensioned.
If you are aspiring for a career in industrial R&D or academia, with a passion for the production of low carbon energy, particularly wind energy, and its most intriguing research challenges, then this subject may be of interest to you.
We are seeking a passionate, curious, and enthusiastic new team member committed to addressing climate change by advancing renewable energy systems. We are looking for someone who thrives on solving complex problems, isn't afraid to ask challenging questions, and possesses the determination to pursue innovative solutions in a rapidly evolving field.
DTU Wind invites applications for a position as a PhD student in Design of automatic maintenance recommendation system for wind turbine components, as part of studies on design and impact assessment of autonomous operations, investigated in IntelliWind. The IntelliWind (Intelligent systems for autonomous Wind power plant operations) project is a Doctoral Network funded by the EU Marie Skłodowska-Curie Actions program (MSCA DN).
In this role, you will have the chance to evolve within academia at DTU Wind, located in Risø, near Roskilde, just 30 minutes from Copenhagen. You will benefit from advanced training in various European universities and industry, participate in scientific discussions within the rich context of the Marie Skłodowska-Curie Action Doctoral Networks context.
You are a committed individual with a strong background in engineering, with a keen interest in scientific programming, machine learning and reliability engineering. Your curiosity drives you to explore and understand the intricacies of wind energy systems, and your self-motivation pushes you to expand the boundaries of what is currently possible for a better tomorrow.
Responsibilities and qualifications
Your primary tasks will be to:
- Design a monitoring system that can automatically estimate component response through processing of sensor signals;
- Develop a prognostics module that estimates the likelihood of failure of a connection based on the currently estimated state of loading;
- Design automatic work orders that recommend a list structural details to be maintained throughout a wind turbine portfolio.
The present project will take advantage of collaboration with researchers and engineers at DTU and at external partners in academia as well as the industry. The project includes close collaboration with Vattenfall and the Technical University of Munich, and envisages external stays in Germany.
You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. In addition, we expect that you have some level of:
- Experience programming with scientific python
- Experience with machine learning methods
- Basic knowledge of reliability and maintenance concepts.
- Experience with wind energy topics
You also work efficiently in a project team and take responsibility for your own research goals. There are additional criteria for Marie Skłodowska-Curie DNs, that requires that you have:
- Not been awarded a title of PhD (Applicants who have successfully defended their doctoral thesis but not yet formally been awarded the doctoral degree will not be considered eligible.)
- Not resided or carried out your main activity in Denmark, for more than 12 months within the last 3 years.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education.
We offer you the opportunity to be a part of IntelliWind, which will not only facilitate sixteen Doctoral Candidates in reaching a high level of technical and project-specific excellence but will also provide you with many opportunities for developing skills that are transferable to a broader landscape of opportunities. You will have the opportunity to visit industry and other academic institutions within the consortium. After completing the program, you will have a thorough understanding of the process from research via innovation to industry implementation and a strong career-defining network.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.
Application procedure
Your complete online application must be submitted no later than 30 September 2024 (23:59 Danish time) .
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file . The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
You may apply prior to obtaining your master's degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
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Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeAbout DTUDTU is a leading technical university globally recognized for the excellence of its research, education, and innovation abilities in engineering and natural sciences.The company is committed to addressing societal challenges through knowledge-based innovations.We are looking for highly skilled researchers who can contribute to our mission to create...
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