PhD Position in Signal Processing and Machine Learning for Industrial Bearing Monitoring
Title
PhD Position in Signal Processing and Machine Learning for Industrial Bearing Monitoring
Research area and project description
Industrial bearings are vital to machine performance, yet over 27 million are replaced each year due to lubrication-related failures. This leads to costly downtime, increased maintenance expenses, and significant environmental impact. Existing lubrication practices often rely on manual inspections and experience, resulting in over- or under-lubrication and inefficient maintenance strategies.
The Forever Bearing project, funded by Innovation Fund Denmark under the Grand Solutions programme, will address this challenge by developing a low-cost, AI-powered condition monitoring system that provides real-time insights into lubrication state and bearing health. By combining smart monitoring with optimized lubricant selection, the project aims to extend bearing lifespan, reduce waste, and support more sustainable industrial operations.
The project adopts a cross-disciplinary approach, integrating expertise from machine learning, signal processing, hardware design, and industrial data acquisition. While the overall initiative spans multiple domains, this PhD position specifically focuses on signal processing and machine learning. The primary objective is to develop advanced algorithms that analyse multi-modal sensor data, including vibration, ultrasound, temperature, and dielectric signals, to detect lubrication anomalies, quantify friction, and predict bearing wear. By leveraging data-driven methods, the project seeks to implement intelligent, precise, and sustainable maintenance strategies in industrial settings.
As a PhD student, you will work closely with our Danish industrial partners in the project, including CeramicSpeed, and Aarhus Havn. This collaborative setup offers a unique opportunity to apply your research in both academic and industrial contexts, gaining access to high-quality data, advanced testing facilities, and practical insights from leading industry partners.
Project description
For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.
Qualifications and specific competences
Applicants to the PhD position must have a relevant master’s degree (or equivalent) in electrical and computer engineering, computer or data science, applied mathematics, or any computing-related discipline.
Further requirements:
- A background, aptitude, and experience in signal processing, machine learning, mathematics, and programming.
- A collaborative mindset and enthusiasm for research.
Place of employment and place of work
The place of employment is Aarhus University, and the place of work is Katrinebjerg, Finlandsgade 22, 8200 Aarhus N., Denmark.
Contacts
Applicants seeking further information regarding the PhD position are invited to contact:
- Naveed Ur Rehman, naveed.rehman@ece.au.dk (main supervisor)
For information about application requirements and mandatory attachments, please see our application guide. If answers cannot be found there, please contact:
How to apply
Please follow this link to submit your application.
Application deadline is 30 June 2025 at 23:59 CEST.
The preferred starting date is 01 September 2025.
Please note:
- Only documents received prior to the application deadline will be evaluated. Thus, documents sent after deadline will not be taken into account.
- The programme committee may request further information or invite the applicant to attend an interview.
- Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
Please note in your application that you found the job at Jobindex
