BFH Berner Fachhochschule - PhD / Postdoc in Industrial Analytics and Transfer learning


Description

 

PhD / Postdoc in Industrial Analytics and Transfer learning 

60 %

 

Limited for 3 years

 

Biel

 

Start immediately or according to agreement

 

What you'll be doing here 

  • 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
Requirement

What you'll bring with you

  • 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
  • Note: if you apply as a postdoctoral researcher, you should hold a PhD in a relevant field and send us the one of your publications that is most relevant to this position
Remark

Department of Engineering and Information Technology

 

In the Department of Engineering and Information Technology we don't move with the times, mostly we are a bit ahead of them! We find it fascinating what benefits technology can have in people's everyday lives. We gain knowledge through research and joint projects with industry and business. This exchange brings about cutting-edge insights that we continually share with students.

 

Stephanie Binggeli

HR consultant

P +41 31 848 43 49

 

Prof. Dr. Angela Meyer

Lecturer

P +41 32 321 62 75

Application deadline

 

 

Contract Type: Doctorate
Work region: Region of Bern
Workplace: Biel
Entry date: Immediately or by agreement

 

Target group: Postgraduate
Degree: Bachelor
Field: 
Engineering Sciences, Natural Sciences and Mathematics
Subject: engineering, computer science, applied mathematics, physics or a related area
Occupational Field: 
Informatics / Information Technology

 

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