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.
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!
SCHOLARSHIP AT A GLANCE:
| Detail | Description |
|---|---|
| Title | PhD scholarship in Decision support systems for automatic anomaly interpretation and ranking |
| Offered by | DTU Wind, Technical University of Denmark |
| Project | IntelliWind (Intelligent systems for autonomous Wind power plant operations), funded by EU Marie Skłodowska-Curie Actions |
| Research Areas | Developing anomaly detection and alarm prediction models using data science and machine learning Assigning probable causes to anomalies based on historical data and specifications Creating a risk ranking system for detected anomalies considering potential downtime or corrective actions |
| Eligibility | Two-year master’s degree (120 ECTS) or equivalent Strong background in engineering, applied mathematics/computer science Experience in scientific python programming and data science/analytics |
| Benefits | Training at various European universities and industry Participation in scientific discussions within the Marie Skłodowska-Curie Action Doctoral Networks context |
| Location | DTU Wind, Risø, near Roskilde, 30 minutes from Copenhagen, Denmark |
| Application Deadline | 30 September 2024 (23:59 Danish time) |
| Application Process | Online application with cover letter, CV, grade transcripts, and BSc/MSc diploma in English |
Fact About DTU WIND Energy
- World Leader in Wind Research: DTU Wind and Energy Systems is the largest public research institute focused on wind energy globally, employing over 350 experts from 38 countries dedicated to advancing wind technology.
- Cutting-Edge Infrastructure: The facility boasts some of the most advanced research infrastructure for wind and energy systems, including a massive wind tunnel named after Poul La Cour, one of the largest university-owned wind tunnels worldwide.
- Innovative Testing Methods: DTU employs sophisticated testing techniques like Digital Image Correlation (DIC) and 3D finite element simulations to enhance the durability and performance of wind turbine blades through projects like ReliaBlade.
- Environmental Impact Research: A new project is investigating the environmental effects of microplastics released from the erosion of offshore wind turbine blades, showcasing DTU’s commitment to sustainable practices.
- Danish Energy Leader: Wind energy accounts for over 40% of Denmark’s total electricity production, highlighting the country’s commitment to renewable energy and the pivotal role of DTU in this transition.
- Global Collaboration: DTU collaborates with major national and international energy organizations, facilitating over 40 research projects worldwide, enhancing global wind energy strategies.
- From Nano to Macro: Research at DTU spans the entire spectrum of wind energy, from nanoscale materials to macro-scale atmospheric flow, ensuring comprehensive advancements in technology.
- Future-Ready Solutions: The institute is at the forefront of developing digital energy solutions and innovative turbine designs, aimed at creating a sustainable energy future.
- Career Opportunities: With the wind energy sector growing rapidly, DTU is pivotal in training the next generation of wind energy professionals, contributing to one of the fastest-growing job markets in the U.S..
- Innovative Energy Islands: DTU is involved in pioneering projects like energy islands, which aim to harness offshore wind energy effectively, setting a global standard for future energy solutions.
Description For 2024 PHD SCHOLARSHIP – DTU WIND
- 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 For 2024 PHD SCHOLARSHIP – DTU WIND
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.
Qualifications For 2024 PHD SCHOLARSHIP – DTU WIND
Two-year master’s degree (120 ECTS points) or equivalent, background in engineering or applied mathematics/computer science
How To Apply For 2024 PHD SCHOLARSHIP – DTU WIND
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 To Apply is 30 September 2024.