PhD Position in Machine Learning Techniques: KU Leuven is inviting applications for a PhD position as part of the Horizon Europe MSCA Doctoral Network PATRON. This research opportunity focuses on innovative approaches in condition monitoring using physics-inspired machine learning techniques for drivetrains.
PhD Position in Physics Inspired Machine Learning Techniques for Condition Monitoring of Drivetrains
Designation
PhD Researcher
Research Area
- Condition Monitoring
- Prognostics and Health Management (PHM)
- Machine Learning
- Mechanical Engineering
- Tribology
Location
KU Leuven, Leuven, Belgium
Eligibility/Qualification
| Criteria | Details |
|---|---|
| Educational Background | Master’s degree in Engineering, Physics, Computer Science, or Mathematics |
| Experience | Knowledge and experience in machine learning, signal processing, and modeling |
| Language Proficiency | Proficient in written and spoken English |
| Residency Requirement | Not resided or conducted main activities in Belgium for more than 12 months in the last 3 years |
| Programming Skills | Proficient in MATLAB and/or Python |
Description
The PhD candidate will work to develop advanced drivetrain models incorporating failures like pitting and spalling. The research will combine multibody and finite element modeling with data-driven approaches, creating a digital twin for diagnostics and prognostics. The project aims to bridge the gap between condition monitoring/prognostics and tribology through innovative methodologies and collaboration within an interdisciplinary network.
How to Apply
Interested candidates should submit the following documents:
- Full CV (mandatory)
- Motivation letter (mandatory)
- Full list of credits and grades of both BSc and MSc degrees (transcription to English if possible) (mandatory)
- Proof of English proficiency (TOEFL, IELTS, etc.) – if available
- Two reference letters – if available
- English version of MSc thesis, or of a recent publication or assignment – if available
Applications should be submitted through the online application tool at KU Leuven.
Last Date to Apply
May 4, 2025, 23:59 CET
For more details on the research group and applying procedure, please visit KU Leuven’s official website and the project page. For questions, contact Prof. Konstantinos Gryllias at konstantinos.gryllias@kuleuven.be.
