Paid Internship
Work Mode
Time Spent
Required Degree
Duration

Open Positions

Experience More On the Go

GET IT ONGoogle Play
Download on theApp Store
© 2026you'll get it. all rights reserved.

Internship Explorer

  • Explore
  • Saved Internships
Sign In

Internship Explorer

  • Explore
  • Saved Internships
Sign In
Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

Auto-load
  • Machine Learning Scientist for Weather and Climate (WeatherGenerator project)

    ETH Zürich
    Zurich, Switzerland
    Found 2 weeks ago
  • PhD Physicist - 2026 summer placement

    Cambridge Consultants
    Cambridge, United Kingdom
    Found 56 minutes ago
  • Superconducting Chip Design Internship H/F

    Alice & Bob
    Paris, France
    Found 3 days ago
  • Quantum Cryptanalysis Research Internship

    Alice & Bob
    Paris, France
    Found 3 days ago
  • Quantum Intern

    Fujitsu
    Santiago de Compostela, Spain
    Found 3 weeks ago
  • Quantum Intern

    Fujitsu
    Santiago de Compostela, Spain
    Found 3 weeks ago
  • Photon School 2026

    Helmholtz-Zentrum Berlin
    Berlin, Germany
    Found 4 weeks ago
  • Research Assistant (Part-time student position)

    Quantum Foundry Copenhagen
    Copenhagen, Denmark
    Found 1 month ago
  • Quantum Training Labs Intern

    kiutra
    Munich, Germany
    Found 1 month ago
  • PhD Student - Correlated topological matter in superconducting circuits

    Donostia International Physics Center (DIPC)
    Donostia / San Sebastián, Spain
    Found 1 month ago
  • Bachelor/Master student in (engineering) physics or similar (m/f/d)

    German Aerospace Center (DLR)
    Oberpfaffenhofen, Germany
    Found 1 month ago
  • Stage-Tesi Quantum

    Léonard.fr
    Roma, Italy
    Found 1 month ago
  • Research Technician - Quantum computing for Earth Sciences (RE1)

    Barcelona Supercomputing Center
    Barcelona, Spain
    Found 1 month ago

Machine Learning Scientist for Weather and Climate (WeatherGenerator project)

ETH Zürich
Found 2 weeks ago
Location
Zurich, Switzerland
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • hydra
  • zarr
  • dask
  • Machine Learning
  • deep-learning models
  • large datasets
  • high-performance computing (HPC)

Soft Skills

  • creative
  • solution-oriented
  • excellent communication skills
  • ability to work with interdisciplinary teams

Job Description

The Center for Climate Systems Modeling (C2SM) at ETH Zurich, in partnership with the Federal Office of Meteorology and Climatology (MeteoSwiss), is pioneering innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. We are looking for a motivated Machine Learning Scientist to join the WeatherGenerator project. Like the approach of Large Language models, the aim of the WeatherGenerator is to build a so-called foundation model for Weather and Climate. The model will be trained on various model data as well as many observations, from satellite to radar data. The core model will be then fine tuned for specific applications, such as high-resolution prediction over Switzerland. Job description * Further develop and train the WeatherGenerator model for specific applications in Switzerland, such as high-resolution regional weather predictions * Improve the system by integrating observation and high-resolution model data * Fine tune and validate model against existing numerical model and observations * Curate and validate ML training datasets * Work on integrating the machine learning pipeline into production

Requirements

  • University degree (MSc or PhD) in data science, computer science, physics or a related field
  • Experience in training and validating large-scale deep-learning models on distributed systems.
  • Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask)
  • Experience in handling and processing large datasets or experience in high-performance computing (HPC) is an advantage
  • Experience with weather and climate applications is an advantage
  • You are creative, solution-oriented and have excellent communication skills and the ability to work with interdisciplinary teams
  • Good knowledge of spoken and written English

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Experience in handling and processing large datasets or experience in high-performance computing (HPC) is an advantage
  • Experience with weather and climate applications is an advantage
▶Apply Now

Similar Roles You Might Like

  • AI-based atmospheric emulator (RE2) - AI4S

    Barcelona Supercomputing Center
    Barcelona, Spain
    Found 2 weeks ago
  • PhD Research Intern, AI for Climate and Weather Simulation 2026

    NVIDIA
    Remote, United Kingdom
    Found 1 month ago
  • Technicien

    Institut DataIA Paris-Saclay
    Évry, France
    Found 4 weeks ago
  • Research Engineer/Researcher Climate Services Team (RE2/R2)

    Barcelona Supercomputing Center
    Barcelona, Spain
    Found 4 weeks ago
  • Machine Learning Intern/Co-op

    Cohere
    Remote, Canada
    Found 1 month ago
  • Workflow Management Software Engineer (RE2)

    Barcelona Supercomputing Center
    Barcelona, Spain
    Found 1 month ago