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

—————–Quick Overview————-
Organization Bern University of Applied Sciences
Country Switzerland
Fellowship Level Doctoral / Postdoctoral
Subject areas

Engineering, Computer Science, Applied Mathematics, Physics

Fellowship amount Varies
Eligibility Relevant degree
Deadline Varies
————————————

Leave a Reply

Your email address will not be published. Required fields are marked *