PhD position in subseasonal forecasting at BFH and University of Lausanne
100 %
Limited for 4 years
Biel
Start according to agreement
What you'll be doing here
- Develop subseasonal forecasting approaches to improve the predictability of renewable energy generation and demand conditions in Europe
- Carry out high-quality research at the intersection of subseasonal forecasting and machine learning for energy applications
- Publish your results in leading international journals and complete your doctorate at University of Lausanne and BFH
- Present your work at international conferences and have the opportunity to assist in teaching and to co-supervise undergraduate students
- Our group offers a stimulating collaborative research environment and a strong network with industry partners
What you'll bring with you
- MSc degree (or equivalent) in physics, atmospheric/geoscience, engineering, computer science, applied mathematics, or a related field
- Experience in at least two of the following areas: Subseasonal or weather forecasting, programming, statistical or machine learning, data analysis
- Strong analytical and programming skills (e.g., Python), fluency in English, good scientific writing, and communication skills
- Self-motivated and proactive, you enjoy working with complex topics and thrive on challenges
- To apply, please submit your CV, BSc and MSc transcripts, names and contact details of 2–3 references, BSc/MSc theses and publications (if any)
School of Engineering and Computer Science
'What I particularly love about my job are the super-exciting projects. I'm right at the heart of them and lead them from initialization to implementation.' Priscilla Caliandro
I’ll be your guide through the application procedure
Jennifer KochHR-Consultant
P +41 31 848 40 32
✖
Contact Jennifer Koch
HR-Consultant
P +41 31 848 40 32
Danke
For job-specific queries
Prof. Angela MeyerDozentin
P +41 32 321 64 69
✖
Contact Prof. Angela Meyer
Dozentin
P +41 32 321 64 69
Danke
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