Postdoktorer i AI för Väderapplikationer vid Forskningsenheten
Core
Developing a European foundation model for the land and atmosphere, adapting pre-trained AI models for specific weather and climate applications.
Role type
Postdoctoral Researcher (Generative AI & Foundation Models)
Builds
Pre-trained AI foundation models for atmospheric and geoscientific applications
Domain
Geoscience, Meteorology, Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, Deep Learning, Linux/Unix, HPC cluster management, Data Science, Mathematical Statistics
Preferred skills
Generative modeling (diffusion, flow, transport), Representation learning, Geoscientific ML, Large-scale data handling, Bayesian inference, Interdisciplinary collaboration
Technologies
PyTorch, Linux, Unix, HPC clusters, WeatherGenerator
Responsibilities
Adapt and fine-tune large-scale pre-trained AI foundation models for specific weather and climate applications, Integrate complex data sources such as satellite and radar data, Develop dedicated models for specific forecast purposes, Collaborate with experts in machine learning, remote sensing, and meteorology
Seniority
Postdoctoral Researcher