Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning.

PhD fellowship in Machine Learning for Greenhouse Gas Fluxes

The position is part of the Global Wetland Center (GWC), which contributes to the development of wetland-based climate change mitigation strategies through biogeochemical modelling and artificial intelligence. The student will develop novel machine learning methods to model greenhouse gas fluxes from both remotely sensed multimodal data and ground-level measurements, utilizing hybrid modelling and self-supervised learning approaches.

The PhD student will collaborate closely with researchers at the GWC and will be affiliated with the Danish Pioneer Center for AI. Depending on the candidate, there is an option to become part of the ELLIS PhD program, offering a high-impact research environment in the heart of Copenhagen.

Key qualifications and skills:

  • A Master’s degree in computer science, applied mathematics, geomatics, or related disciplines.
  • Strong background in machine learning and computer vision.
  • Experience in working with different remote sensing modalities and programming in Python (PyTorch, GeoPandas, Rasterio).
  • Genuine interest in interdisciplinary research and climate change mitigation.

Deadline: 2026-04-06

Apply through the official recruitment system

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