The Technical Faculty of IT and Design, Department of Electronic Systems at Aalborg University is seeking a PhD 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.
Project Description abd Responsibilities
The project is carried out in a collaboration between Aalborg University and Siemens-Gamesa, This innovative research aims to enhance the operation of next-generation offshore wind turbines through the development of a novel condition monitoring system.
Your 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.
NOTE: PhD stipends are allocated to individuals who hold a Master's degree. PhD 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 PhD student at the Technical Doctoral School of IT and Design.
Application procedure and guidelines
The application is only to be submitted online by using the"Apply online" at this official posting webpage.
For further information about this position 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
Application Deadline: 16.06.2024