PhD Researcher in Advanced Wind Turbine Maintenance
2 months ago
At Danmarks Tekniske Universitet (DTU), we are committed to advancing the field of renewable energy and reducing our carbon footprint.
The PhD position in Design of Automatic Maintenance Recommendation System for Wind Turbine Components is a unique opportunity to contribute to this mission. As a researcher, you will be part of IntelliWind, a Doctoral Network funded by the EU Marie Skłodowska-Curie Actions program.
**Job Description:**
We are seeking a highly motivated and talented individual with a strong background in engineering, particularly in scientific programming, machine learning, and reliability engineering. The ideal candidate will have a keen interest in understanding the intricacies of wind energy systems and a passion for developing innovative solutions to complex problems.
**Responsibilities and Qualifications:**
- 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 of structural details to be maintained throughout a wind turbine portfolio.
The successful candidate will be expected to work efficiently in a project team, take responsibility for their own research goals, and collaborate closely with researchers and engineers at DTU and external partners in academia and industry.
**Requirements:**
- 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;
- Experience programming with scientific Python;
- Experience with machine learning methods;
- Basic knowledge of reliability and maintenance concepts;
- Experience with wind energy topics.
The salary for this position is approximately **DKK 430,000 - 501,800 per year**, depending on qualifications and seniority, plus pension and holiday benefits.
**Application Procedure:**
Please submit your application no later than September 30, 2024. Applications must be submitted as one PDF file containing all materials to be given consideration. The file must include a letter motivating the application, curriculum vitae, and grade transcripts and BSc/MSc diploma (in English) including official description of grading scale.
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