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Position: PhD/Postdoc in Industrial Analytics and Transfer learning
Institution: Berner Fachhochschule
Location: Bern, Switzerland
Duties: 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: 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
   
Text: PhD / Postdoc in Industrial Analytics and Transfer learning 'BFH and the canton of Bern: It's the short (bike) routes from research and teaching to culture, politics and practice that I appreciate'. Maurizio Trippolini PhD / Postdoc in Industrial Analytics and Transfer learning 60 % / Limited for 3 years / Biel / Start immediately or according to agreement To start with, here are some of our strong points Plenty of contact with eager young people from all over the world who are set on achieving things. , Great freedom in work organisation with lots of leeway for your ideas, your creativity and decisiveness. , Focus on research that is geared towards practical orientation and the education of committed people rather than mere profit maximisation. , Work place in prime location with excellent access. , National and international networks and contacts with business, economy, society and the political world. And here are even more good reasons to opt for BFH 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 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 Apply now 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. Doing something meaningful in a fascinating environment and with an outlook to the future: a job at Bern University of Applied Sciences makes perfect sense. We’re busy researching, developing and virtually bending our minds to come up with practical solutions for business, culture and people in Bern, in Switzerland and all over the world. Apart from being incredibly interesting, this is also a lot of fun, and we get to learn a lot as well. This cutting-edge knowledge benefits all who are studying here or doing part-time continuing education courses. We have great plans for the future: We’re building two campuses and combining our strengths. So we’re creating the ideal environment for your future job with us. Place of work I’ll be your guide through the application procedure Stephanie Binggeli HR consultant P +41 31 848 43 49 ✖ Contact Stephanie Binggeli HR consultant P +41 31 848 43 49 Subject * Your Name * Your E-Mail * Message * Danke For job-specific queries Prof. Dr. Angela Meyer Lecturer P +41 32 321 62 75 ✖ Contact Prof. Dr. Angela Meyer Lecturer P +41 32 321 62 75 Subject * Your Name * Your E-Mail * Message * Danke More exciting jobs
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