PhD Position in Signal Processing: Aarhus University invites applications for a PhD fellowship in the Graduate School of Technical Sciences, focusing on developing AI-powered condition monitoring systems for industrial bearings to enhance lubrication practices and minimize maintenance costs.
PhD Position in Signal Processing and Machine Learning for Industrial Bearing Monitoring
Designation:
PhD Student
Research Area:
Signal Processing and Machine Learning
Location:
Aarhus University, Katrinebjerg, Finlandsgade 22, 8200 Aarhus N., Denmark
Eligibility/Qualification:
- Relevant Master’s degree (or equivalent) in electrical and computer engineering, computer/data science, applied mathematics, or a computing-related discipline.
- Strong background and expertise in signal processing, machine learning, mathematics, and programming.
- Collaborative mindset with enthusiasm for research.
Job Description:
The PhD student will focus on developing advanced algorithms to analyze multi-modal sensor data (including vibration, ultrasound, temperature, and dielectric signals) to detect lubrication anomalies, quantify friction, and predict bearing wear. The project aims to implement intelligent, precise, and sustainable maintenance strategies in industrial applications by leveraging data-driven methods. The student will collaborate with Danish industrial partners, providing access to high-quality data and advanced testing facilities.
How to Apply:
Interested candidates should submit their applications via the link under ‘how to apply’ on the Aarhus University website. The project description must be copied from the provided information and uploaded as a PDF.
Last Date to Apply:
30 June 2025 at 23:59 CEST
For further inquiries, contact Naveed Ur Rehman at naveed.rehman@ece.au.dk.
