PhD in AI- and Satellite-Based Forecasting: An exciting PhD position is available at the interface of AI, weather forecasting, and sustainable energy. This opportunity allows researchers to engage in interdisciplinary studies that advance the transition to low-carbon energy systems. The position is fully funded and offers a competitive salary.
PhD in AI- and Satellite-Based Weather Forecasting
Designation
PhD Candidate in AI- and Satellite-Based Weather Forecasting
| Details | Information |
|---|---|
| Research Area | Atmospheric Sciences, Energy Meteorology, Machine Learning |
| Location | Switzerland (BFH and TU Delft) |
| Eligibility/Qualification | MSc degree (or equivalent) in relevant fields such as Computer Science, Data Science, Machine Learning, Physics, Atmospheric or Geoscience, Engineering, or Applied Mathematics |
| Salary | Approximately 51,000 CHF or 56,000 EUR per year |
| Application Deadline | Open until the position is filled |
Job Description
Candidates will be responsible for conducting research on topics related to AI-based weather forecasting and energy meteorology. Responsibilities include:
- Publishing results in peer-reviewed journals and at conferences.
- Organizing project activities and engaging in project meetings.
- Reporting project work and results.
- Opportunities to assist in teaching and co-supervising undergraduate students.
How to Apply
Interested candidates should submit the following documents by email to Angela Meyer:
- CV
- BSc/MSc transcripts and theses
- Names and contact details of 3 references
- Github profile (if available)
- Publications (if available)
Applications are reviewed on a rolling basis until the position is filled.
Last Date to Apply
Open until the position is filled.
For further information, please refer to the contacting details provided in the job posting.
