PhD position: AI for offshore wind forecasting at BFH and TU Delft

We offer a PhD position at the interface of AI, weather forecasting and wind energy science. We are looking for a motivated and proactive doctoral researcher interested in deep learning, weather forecasting and wind energy.

Desired start date is spring/summer 2025 (may be adjusted by mutual agreement). The PhD student salary corresponds to around 50'000 CHF or 54'000 EUR per year. The PhD position is a 4-year full-time position and fully funded. The PhD student will be embedded at the Department of Geoscience and Remote Sensing at TU Delft where the student is set 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

    Experience in machine learning, deep learning frameworks, statistics, image processing, signal analysis

    Interest in atmospheric modelling and remote sensing

    Excellent analytical and quantitative skills, data analysis, scientific modelling and interpretation skills

    Strong programming skills incl. Python

    Good communication, writing and presentation skills will be advantageous

    You are self-motivated and proactive, enjoy working with complex topics and thrive on challenges

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

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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

    Collaborate with a team of international researchers

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

    You will have the opportunity to assist in teaching and co-supervise undergraduate students

 
You will be embedded in the Energy and AI group 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

    Access to state-of-the-art supercomputing infrastructure

    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

    Opportunity to engage with industry partners
    Competitive salary (approx. 50'000 CHF p.a. or 54'000 EUR p.a.)

    Funding up to 7 years

    Travel to conferences, collaboration and publication fees covered

    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@firstname-lastname.net). Applications are reviewed on a rolling basis until the positions are filled.