Shape the sustainable energy future with us!

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We are offering two PhD positions at the interface of AI, weather forecasting and sustainable energy. Join our interdisciplinary research team in energy meteorology and AI-based weather forecasting.

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We are looking for two doctoral researchers interested in artificial intelligence, weather forecasting and energy meteorology. Desired start date is spring/summer 2026. The PhD positions are 4-year full-time positions and fully funded with a salary of approximately 50'000 CHF or 54'000 EUR per year. The PhD students will be embedded at BFH and the Department of Geoscience and Remote Sensing at TU Delft from which the students are expected to receive their PhD degree.

 

Your profile:

• MSc degree (or equivalent) in computer science, computer vision, physics, atmospheric or geoscience, engineering, applied mathematics, or a related field

• First experience in machine learning, deep learning frameworks, statistics, image processing, or signal analysis

• Interest in atmospheric modelling and remote sensing

• Strong programming skills incl. Python; analytical and quantitative skills, data analysis, scientific modelling and interpretation skills

• You are self-motivated, proactive, and enjoy working with complex topics

• You are committed to your project, enjoy collaborations and are a good team player

• Good communication, writing and presentation skills will be advantageous

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Your responsibilities:

• Conduct research on topics related to this project

• Publish your results in peer-reviewed international journals and at conferences

• Organize project activities, engage in project meetings, report project work and results

• Opportunity to assist in teaching and co-supervise undergraduate students

 

You will be embedded in the Energy Weather and AI Lab at TU Delft and BFH. Our group focuses on understanding and predicting weather- and climate-related factors that affect renewable energy resources and ambient conditions. Our research contributes to advancing the transition to low-carbon energy systems.

 

We offer

• Pursue your PhD at one of Europe's leading technical universities

• Engage in cutting-edge machine learning / AI to facilitate the energy transition and address pressing challenges related to climate change, societal and energy topics

• Engage with industry partners

• Competitive salary (approx. 50'000 CHF p.a. or 54'000 EUR p.a.)

• Travel to conferences, collaboration and publication fees covered

• Access to state-of-the-art supercomputing infrastructure

• Opportunity to co-advise undergraduate students

• A friendly, international, dynamic work place

• Hybrid work is possible 

• We are committed to diversity 

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To apply, please submit your CV, BSc/MSc transcripts and theses, names and contact details of 3 references, your Github profile and publications (if any) by email to Angela Meyer (email (at) angela-meyer.net). Applications are reviewed on a rolling basis until the positions are filled.

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