Students (m/f/d) for Master Thesis Machine Learning Methods in Numerical Weather Prediction

TN Germany; Stuttgart; Vor Ort; EUR 15.000 - 25.000; Vollzeit

Zusammenfassung

A leading research center in Stuttgart seeks students for a Master Thesis in Machine Learning Methods applied to Numerical Weather Prediction. The role involves researching advanced forecasting models and implementing prediction frameworks, offering a flexible and modern work environment.

Leistungen

Flexible hours

Modern facilities

Health programs

Qualifikationen

• Candidates should have studies relevant to Deep Learning, Optimization, or Meteorology.
• Experience with Linux systems is ideal.

Aufgaben

• Research the GraphCast model for weather forecasting.
• Implement a prediction framework and evaluate model performance.

Kenntnisse

Python

Deep Learning

Optimization

German

Ausbildung

Master Thesis

Tools

Linux

Jobbeschreibung

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Students (m/f/d) for Master Thesis Machine Learning Methods in Numerical Weather Prediction, Stuttgart

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Client:

Location:

Stuttgart, Germany

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

7813c5b3594c

Job Views:

2

Posted:

18.05.2025

Expiry Date:

02.07.2025

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Job Description:

The Centre for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW) is seeking students (m/f/d) for a Master Thesis in Machine Learning Methods applied to Numerical Weather Prediction in Stuttgart. ZSW specializes in applied research on energy transition topics, including photovoltaics, wind energy, battery tech, fuel cells, electrolysis, e-fuels, circular economy, policy advice, and AI for process and system optimization. The position involves researching the GraphCast model, a graph neural network for weather forecasting, and implementing a forecast pipeline on ZSW's GPU architecture. Responsibilities include analyzing the model architecture, reviewing alternative data-driven weather forecasting methods, implementing a prediction framework, and evaluating model performance. Candidates should have studies relevant to Deep Learning, Optimization, or Meteorology, proficiency in Python and machine learning frameworks, and ideally experience with Linux systems and German language skills. We offer a research-oriented environment with flexible hours, modern facilities, and health programs. Interested applicants should apply via the online portal or contact Mr. Christian Bär for questions. More info at www.zsw-bw.de. We look forward to your application!