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Vacancy: PhD position in solar power forecasting at TU Delft and BFH

We invite applications for a 4-year PhD position in solar power forecasting to improve photovoltaic production 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 advanced solar power forecasting approaches to improve the predictability of renewable energy production
  • Carry out high-quality research at the intersection of solar energy, machine learning, and satellite remote sensing
  • Publish your results in leading international journals and complete your doctorate at TU Delft · 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
  • Practical experience in programming (e.g., Python), machine learning and data analysis -Strong analytical skills
  • Fluency in English, good scientific writing, and communication skills -Being self-motivated and proactive, you enjoy working with complex topics and thrive on challenges
  • Experience with atmospheric and energy-related research or solar forecasting is not necessarily required but will be an advantage.

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

https://urldefense.com/v3/https://jobs.bfh.ch/offene-stellen/phd-position-in-solar-power-forecasting-at-tu-delft-and-bfh/6ee4be56-2270-4b06-ab79-ec8964498132;!!KGKeukY!0laGYWjUME8fFObRHflXJy3HR4aE9mZc9ItFD795TM66aeEDSM6G81NlJM68Prf0hEnD-NtUhSd8jKb4_u3P$

Kind regards,

Angela Meyer