Bern University of Applied Sciences

We invite applications for a Postdoc position in solar energy forecasting at BFH using satellite data and deep learning. Our group offers a stimulating collaborative research environment and a strong network with industry partners. Desired start time is October 2024. This may be adjusted by mutual agreement. Annual salary is around 90‘000 CHF (95‘000 EUR) depending on applicant’s experience.

What you’ll be doing

- Develop advanced solar energy forecasting methods to improve the predictability of solar energy
- Carry out high-quality research at the intersection of solar energy, machine learning, and satellite remote sensing
- Publish your results in leading international journals
- Present your work at international conferences
- Have the opportunity to advise PhD students and teach (if interested)  

Job profile

- PhD and MSc degree (or equivalent) in physics, atmospheric/geoscience, computer science, data science, engineering, applied mathematics, or a related field
- Fluency in English, good scientific writing and communication skills
- Experienced in programming (e.g., Python), machine learning and data analysis
- Strong analytical and programming 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

To apply, please send your CV, transcripts, 3 references, and publication list to angela.meyer@bfh.ch