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PhD Position: PV forecasting with neural networks BFH/ETH

'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 Position: PV forecasting with neural networks BFH/ETH

100 % / Limited for 4 years / Biel / Start by arrangement
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.
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  • Great freedom in work organisation with lots of leeway for your ideas, your creativity and decisiveness.
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  • Focus on research that is geared towards practical orientation and the education of committed people rather than mere profit maximisation.
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  • Work place in prime location with excellent access.
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  • 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
  • Conduct doctoral research at Bern University of Applied Sciences and ETH Zurich
  • Develop an optical-flow machine-learning framework for short-term prediction of the solar resource and the photovoltaic power generation with lead times of up to several hours
  • Combine ground and satellite measurements to validate the developed machine learning framework and estimate associated uncertainties
  • Work in a stimulating research environment, and present and publish your results in high-profile journals and conferences
  • Bern University of Applied Sciences and ETH Zurich are leading universities in science and technology renowned for excellent research, education, and cutting-edge innovation
What you'll bring with you
  • Master degree in Computer Science, Computer Vision, Machine Learning, Statistics, Engineering, Atmospheric/Climate Science, Physics, or a related field
  • Strong background in machine learning and excellent analytical skills; Excellent programming skills, proficiency in Python; Proficiency in written and spoken English
  • Good proficiency in state-of-the-art libraries for machine learning or computer vision; highly motivated demonstrate strong ambition for excellence and enthusiasm for research
  • Please include your CV, copy of master thesis, academic transcript incl. list of completed courses, contact details of two referees;
  • and a brief description of your project idea (max. 2 pages) that relates to your experience and the relevant literature
School of Engineering and Computer Science

In the School of Engineering and Computer Science 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
For job-specific queries
Prof. Angela Meyer
Dozentin
P +41 32 321 64 69

Contact
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