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Angela Meyer

Top university

4 days ago

PhD and Postdoc Positions in AI for Weather and Climate Delft University of Technology in Netherlands

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

PhD positions are 4-year full-time and fully funded, with salaries increasing from approximately 50,000 CHF to 53,500 CHF over years 1-4. Postdoc positions are initially for one year with the option to extend up to 3 years. Competitive salary is approximately 52,000 CHF for PhD and 100,000 CHF per year for postdoc researchers. Travel to conferences, collaboration and publication fees are covered.

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Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Remote Sensing
Climate Science
Atmospheric Science
Earth Science
Earth Observation
Explainable Ai
Generative Modeling
Numerical Weather Prediction
Physics
ML

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About this position

Energy Weather & AI Lab is advertising PhD and postdoc positions in AI for Weather and Climate at Delft University of Technology and Bern University of Applied Sciences.

The research sits at the intersection of machine learning, Earth observation, atmospheric and climate science, and applications in energy and urban contexts. Topics of interest include weather forecasting, remote sensing, explainable AI, generative and foundation models, hybrid modelling, and physics-based modelling.

PhD positions are 4-year full-time roles and are fully funded. The post mentions salaries increasing from about 50,000 CHF to 53,500 CHF across years 1–4. Postdoc positions are initially for one year with the possibility of extension up to 3 years. Travel to conferences, collaboration fees, and publication fees are covered.

Applicants should have an MSc or equivalent in physics, machine learning, computer science, atmospheric or geoscience, engineering, applied mathematics, or a related field. Strong Python programming, analytical and quantitative skills, and interest in remote sensing and atmospheric/climate modelling are highlighted. Experience in machine learning/AI, statistics, computer vision, image processing, or signal analysis is considered advantageous.

To apply, send your CV, transcripts, theses, 3 references, GitHub profile, and publications if available. Postdoc applicants should also include their PhD thesis. Applications are reviewed on a rolling basis until the positions are filled.

Funding details

PhD positions are 4-year full-time and fully funded, with salaries increasing from approximately 50,000 CHF to 53,500 CHF over years 1-4. Postdoc positions are initially for one year with the option to extend up to 3 years. Competitive salary is approximately 52,000 CHF for PhD and 100,000 CHF per year for postdoc researchers. Travel to conferences, collaboration and publication fees are covered.

What's required

Applicants should have an MSc degree or equivalent in physics, machine learning, computer science, atmospheric or geoscience, engineering, applied mathematics, or a related field. Interest in remote sensing and atmospheric or climate modelling is expected. Experience in several of machine learning/AI, statistics, computer vision, image processing, or signal analysis is preferred. Strong analytical and quantitative skills, scientific modelling and interpretation skills, strong Python programming skills, and good communication, writing, and presentation skills are advantageous. Candidates should be self-motivated, proactive, collaborative, and comfortable working on complex topics.

How to apply

Send your CV, BSc/MSc transcripts and theses, names and contact details of 3 references, your GitHub profile, and publications if any to the listed email address. Postdoc applicants should also include their PhD thesis. Applications are reviewed on a rolling basis until the positions are filled.

More information can be found here

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