PHD SCHOLARSHIP – DTU WIND: DTU Wind invites applications for a prestigious PhD scholarship in the field of decision support systems for automatic anomaly interpretation and ranking. This is a remarkable opportunity for individuals with a passion for renewable energy systems and a drive to tackle the challenges of wind energy. The selected candidate will join the IntelliWind project, funded by the EU Marie Skłodowska-Curie Actions program, and work on advancing renewable energy systems while training in various European universities and industry.
PHD SCHOLARSHIP IN DECISION SUPPORT SYSTEMS FOR AUTOMATIC ANOMALY INTERPRETATION AND RANKING – DTU WIND Denmark
Designation: PhD student in Decision Support Systems for Automatic Anomaly Interpretation and Ranking
| Research Area | Decision support systems for automatic anomaly interpretation and ranking, renewable energy systems |
|---|---|
| Location | Frederiksborgvej 399, Roskilde, 4000, DK |
| Qualification | Two-year master’s degree (120 ECTS points) or equivalent, background in engineering or applied mathematics/computer science |
| Job Description | – Utilize data science and machine learning techniques for anomaly detection and alarm prediction models |
| – Develop methodology for assigning probable causes to an anomaly based on historical data and manufacturer specifications | |
| – Create a risk ranking system for detected anomalies considering potential downtime or corrective actions |
Eligibility/Qualification:
Applicants must possess a two-year master’s degree (120 ECTS points) or an equivalent academic level. Strong background in engineering or applied mathematics/computer science along with experience in scientific python programming and data science/analytics is required.
How to Apply:
Interested candidates should submit a complete online application by 30 September 2024 (23:59 Danish time) in one PDF file containing a cover letter, curriculum vitae, and grade transcripts with BSc/MSc diploma in English.
Last Date for Apply: 30 September 2024
This scholarship offers a unique opportunity to be part of the IntelliWind project, providing valuable training and exposure to a network of industry and academic partners. Applicants from diverse backgrounds are encouraged to apply. Join us in advancing wind energy systems and contributing to a sustainable future!
