PhD / Postdoc in Industrial Analytics and Transfer learning 1886 views

The Department of Engineering and Information Technology at Bern University of Applied Sciences is inviting applications for a PhD / Postdoc in Industrial Analytics and Transfer learning.

Role and responsibilities:

• Developing machine learning approaches for sensor-driven fault detection and predictive maintenance in operative wind farms across Europe
• Combining high frequency drive train data sources for transfer learning applications
• Publishing results in high-profile journals and supporting the technology transfer to an industry Partner
• Evaluating the application performance across multiple wind farms

Requirements:

• For PhD position, applicant must hold MSc in Engineering, Computer Science, Applied Mathematics, Physics or a related area
• Strong analytical and machine learning skills; experience in transfer learning and domain adaptation; excellent programming skills ideally in Python and R
• Highly motivated, self-driven and proactive; fluent in English
• Expertise or interest in a relevant research area, please include a statement of research interests (one page) and contact details of two Referees
• For postdoctoral researcher, candidate should hold a PhD in a relevant field and send us the one of the publications that is most relevant to this position.

How to apply:

Apply online