We are seeking a Ph D candidate for a project focused on the development and application of machine learning techniques for monitoring the health of the main bearing in wind turbines.
The project is carried out in a collaboration between Aalborg University and Siemens-Gamesa, and we are seeking a Ph D candidate for a project focused on the development and application of machine learning techniques for monitoring the health of the main bearing in wind turbines. This innovative research aims to enhance the operation of next-generation offshore wind turbines through the development of a novel condition monitoring system.
Responsibilities:

• Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology.
• Analyze sensor data from both normal operations and destructive tests conducted on small-scale and full-scale test rigs.
• Create interpretable predictors for known failure modes, identify characteristic fault features, and extract informative features from multimodal data.
• Apply advanced techniques such as Kernel Density Estimation and Topological Data Analysis for fault detection and localization.

The project will be conducted under the auspices of the Learning and Decisions research group. This group specializes in developing control and decision-making strategies for autonomous systems and infrastructures, integrating physical models with pervasive data. It combines three key areas of research: optimization(encompassing multi-objective optimization, dynamic programming, and reinforcement learning), safety and resilience evaluation, and the secure, privacy-preserving implementation of control algorithms.
You may obtain further information from Prof. Rafal Wisniewski, Department of Electronic Systems, email:raf@es.aau.dk, concerning the scientific aspects of the stipend.
Ph D stipends are allocated to individuals who hold a Master's degree. Ph D stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a Ph D student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the Ph D Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the Ph D student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff, The Doctoral School at The Technical Faculty of IT and Design, email:ld@adm.aau.dk, phone:+45 9940 9589.

For more information of The Technical Doctoral School of IT and Design:www.phd.tech.aau.dk
The application is only to be submitted online by using the"Apply online" button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Løn og ansættelsesvilkår

Appointment and salary as a Ph D fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding Ph D fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Ref. nummer

8-24028G

Ansøgningsfrist

19.11.2024