TU Delft and BFH

We invite applications for a 4-year PhD position in AI-based satellite data assimilation at TU Delft and BFH to improve weather forecasts. Our group offers a stimulating collaborative research environment and a strong network with industry partners. The PhD student will be enrolled at TU Delft. The project is in collaboration with a weather company.

What you’ll be doing here

- Develop machine learning approaches for the assimilation of satellite data in numerical weather prediction to improve weather forecasts
- Carry out high-quality research at the intersection of machine learning, satellite remote sensing, and numerical weather prediction
- Publish your results in leading international journals and complete your doctorate at TU Delft
- Present your work at international conferences
- Opportunity to assist in teaching and co-supervise undergraduate students

What you’ll bring with you

- MSc degree (or equivalent) in physics, computer science, atmospheric/geoscience, 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
- You are self-motivated and proactive, enjoy working with complex topics and thrive on challenges
- Experience in atmospheric research, data assimilation or numerical weather prediction is not necessarily required but will be an advantage

Desired starting time 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.

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) to angela.meyer@bfh.ch.