TU Delft and BFH

We invite applications for a 4-year PhD position in solar energy forecasting at TU Delft and BFH to improve solar energy 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. Desired start date is October 2024. 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.

What you’ll be doing – Develop advanced solar energy forecasting methods to improve the predictability of photovoltaic power 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

Job profile – MSc degree (or equivalent) in physics, atmospheric/geoscience, computer science, data science, engineering, applied mathematics, or a related field – Practical experience in programming (e.g., Python), machine learning and data analysis – Strong analytical and programming 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 an advantage

To apply, submit your CV, BSc and MSc transcripts, names and contact details of 2–3 references, BSc/MSc theses and publications (if any) to angela.meyer@bfh.ch

To apply, submit your CV, BSc and MSc transcripts, names and contact details of 2–3 references, BSc/MSc theses and publications (if any) to angela.meyer@bfh.ch