We invite applications for a 4-year PhD position in subseasonal forecasting to improve European energy production and demand forecasts. Our group offers a stimulating collaborative research environment and a strong network with industry partners. This project will be performed in collaboration with an energy company.
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
- Present your work at international conferences • Have the opportunity to assist in teaching and co-supervise undergraduate students
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 -Being self-motivated and proactive, you enjoy working with complex topics and thrive on challenges
Desired starting date is 1 October 2023. This may be adjusted by mutual agreement. The position is a full-time position. The salary corresponds to the Swiss National Science Foundation salary for PhD students of 47040–50040 CHF, which is approx. 48900–52040 EUR per year.
In case of any questions, please contact Prof. Angela Meyer, angela.meyer@bfh.ch (no applications).
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) on
Kind regards,
Angela Meyer
