Summary
We are seeking a highly motivated Postdoctoral Researcher to advance the application of AI, including large language models and machine learning, to extract trustworthy climate information from large-scale geospatial and Earth system datasets within the NCCR CLIM+ program. This role bridges climate science and AI, focusing on innovative methods for climate data analysis.
Postdoctoral Researcher in AI for Climate Information Inference, ETH Zurich, Zurich, Switzerland
Designation
Postdoctoral Researcher
Location
ETH Zurich, Zurich, Switzerland
Research Area
AI and Climate Science
| Category | Details |
|---|---|
| Position Type | Full-time, Fixed-Term |
| Supervisors | Prof. Andreas Prein, Prof. Erich Fischer, Prof. Reto Knutti at ETH Zurich; Prof. Markus Leippold at the University of Zurich |
| Institution | ETH Zurich & University of Zurich |
Eligibility/Qualification
- PhD in climate science, atmospheric science, computer science, data science, physics, applied mathematics, remote sensing, or a related field.
- Strong publication record in AI, machine learning, or Earth system data science.
- Experience with large geospatial datasets, remote sensing, and climate/weather model outputs.
- Proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, JAX).
- Familiarity with HPC and GPU-accelerated computing.
- Interest in reproducible workflows and scientific software development.
Job Description
- Design, develop, and apply AI/ML methods, including LLMs and foundation models, to extract and synthesize climate information.
- Implement advanced generative AI models for high-resolution climate downscaling and data assimilation.
- Develop methods for uncertainty quantification in downscaled projections of extreme weather.
- Build scalable software tools and data pipelines for processing large geospatial datasets.
- Conduct publishable scientific research and contribute to CLIM+ program activities.
- Supervise students and interns where appropriate.
How to Apply
Interested applicants should submit the following documents online:
- A letter of motivation describing research interests and fit for the position.
- Curriculum vitae, including a publication list.
- Copies of relevant degree certificates.
- Contact details of two or three academic references.
Please ensure that all applications are submitted through our online application portal; applications sent by email or post will not be considered.
Last Date to Apply
Applications will be accepted until May 11, 2026.
