PhD Position in Machine Learning for Condition Monitoring of Wind Turbine Bearings

2 weeks ago


Aalborg, Ålborg Kommune, Denmark Aalborg Universitet København Full time
PhD Position in Machine Learning for Condition Monitoring of Wind Turbine Bearings

Aalborg Universitet København is seeking a PhD candidate to work on the development and application of machine learning techniques for monitoring the health of main bearings in wind turbines. The project 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 the main bearing technology.
  • Analyze sensor data from normal operations and destructive tests conducted on 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, safety and resilience evaluation, and the secure, privacy-preserving implementation of control algorithms.

The PhD candidate will work closely with the research group and contribute to the development of the condition monitoring system. The project offers opportunities for collaboration with industrial partners and the application of machine learning techniques to real-world problems.

The successful candidate will be enrolled as a PhD 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 PhD Programme at the Universities and Certain Higher Artistic Educational Institutions.

The PhD stipend is allocated to individuals who hold a Master's degree. The stipend is normally for a period of 3 years. The PhD student's progress will be assessed at regular points in time.

Aalborg Universitet København is an equal opportunities employer and welcomes applications from all qualified candidates regardless of personal background or belief.



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