PhD in AI / Earth Observation / Environmental Science at University of Cambridge, University of Manchester
Core
Training new machine learning models and performing high-resolution inference on Earth Observation data to improve pollution models and support environmental decision-making for policymakers.
Role type
PhD researcher (AI/Earth Observation)
Builds
Open-source Earth Observation foundation models and inference pipelines
Domain
Environmental Science, Earth Observation, Machine Learning
Deliverable
production ML models
Required skills
machine learning, software engineering, training large-scale models, high-resolution inference, data pipeline management
Preferred skills
atmospheric science, Earth Observation domain knowledge
Technologies
GPU clusters, petabyte-scale data pipelines, open-source frameworks
Responsibilities
Train new models, perform high-resolution inference across national/global scales, develop applications for policymakers, collaborate with practitioners and decision makers