PhD Stipend in Machine Learning: Aalborg University’s Department of Electronic Systems, in collaboration with Siemens-Gamesa, is offering a PhD stipend for research in machine learning techniques to monitor wind turbine operation. The project focuses on developing innovative condition monitoring systems to enhance offshore wind turbine operations.
PhD Stipend in Machine Learning for Monitoring Wind Turbine Operation
Summary Table:
- Location: Aalborg
- Department: Department of Electronic Systems
- Ref Number: 8-24028
- Deadline: 16.06.2024
- 🎓 PhD Stipend in Machine Learning for Monitoring Wind Turbine Operation:
- Available at the Technical Faculty of IT and Design, Department of Electronic Systems.
- Open for appointment from August 15, 2024.
- 🏢 Department of Electronic Systems Overview:
- Employs over 200 people, including approximately 90 PhD students.
- About 40% of employees are international.
- Offers BSc and MSc programs with over 600 students.
- Conducts world-leading research in various fields like communication, networks, AI, cyber security, etc.
- Actively collaborates with industrial partners for applications.
- 🤖 Project Description:
- Collaboration between Aalborg University and Siemens-Gamesa.
- Focuses on developing machine learning techniques for monitoring wind turbine main bearing health.
- Aims to improve offshore wind turbine operation through a novel condition monitoring system.
- 📝 Responsibilities:
- Develop machine learning algorithms for condition monitoring.
- Analyze sensor data from normal and destructive tests.
- Create interpretable predictors and identify fault features.
- Apply advanced techniques like Kernel Density Estimation and Topological Data Analysis.
- 📚 Learning and Decisions Research Group:
- Specializes in control and decision-making strategies for autonomous systems.
- Integrates physical models with pervasive data.
- Focuses on optimization, safety, resilience evaluation, and secure implementation of control algorithms.
- ℹ️ Further Information:
- Contact Prof. Rafal Wisniewski for scientific aspects.
- Contact Ms. Lisbeth Diinhoff for practical issues regarding application procedure.
- 💼 Wages and Employment:
- Salary follows the Ministry of Finance Circular for PhD fellows.
- Appointment and salary details available through official channels.
- 🌐 Application Process:
- Application submitted online.
- Contact provided for inquiries.
- 🌍 Diversity and Inclusion:
- AAU encourages applications from all qualified candidates, irrespective of personal background or belief.
Eligibility/Qualification:
- Hold a Master’s degree
- Enroll as a PhD student at the Technical Doctoral School of IT and Design
- Proficiency in machine learning, data analysis, and programming
- Strong background in electrical or electronic engineering, or related fields
Description: The PhD project, conducted in collaboration between Aalborg University and Siemens-Gamesa, focuses on the development and application of machine learning techniques to monitor the health of wind turbine main bearings. The successful candidate will:
- Develop machine learning algorithms for condition monitoring.
- Analyze sensor data from operational and test rig environments.
- Create interpretable predictors for failure modes and extract features from multimodal data.
- Apply advanced techniques for fault detection and localization.
The project will be conducted under the Learning and Decisions research group, specializing in control and decision-making strategies for autonomous systems. It integrates physical models with pervasive data and focuses on optimization, safety, and resilience evaluation.
How to Apply: Interested candidates should apply online using the “Apply online” button below. For further information about stipends, salaries, and the application procedure, contact Ms. Lisbeth Diinhoff at ld@adm.aau.dk or +45 9940 9589. Applicants will be notified regarding the assessment process.
For scientific inquiries, contact Prof. Rafal Wisniewski at raf@es.aau.dk.
Last Date for Apply: 16 June 2024
Aalborg University is committed to diversity and encourages applications from all qualified candidates.
Wages and Employment: Salary and appointment as a PhD fellow follow the Ministry of Finance Circular on the Collective Agreement for Academics in Denmark, Appendix 5, and the current Circular on the employment structure at Danish universities.
