PhD: AI for Earth Observation & Environmental Decision-Making

University of Cambridge, University of Manchester; Cambridge, Manchester; On-site; GBP 28,000 - 32,000; Full time

Job summary

University of Cambridge, in collaboration with the University of Manchester, offers a PhD studentship in AI for Decision Making for Complex Systems. The project spans one year at Manchester and three years at Cambridge, with a strong emphasis on Earth Observation, environmental science and scalable model development.

Selected candidates will train state-of-the-art models, perform large-scale inference, and contribute to open source code and data workflows while collaborating with policymakers

Qualifications

• Strong ML and software engineering experience.
• Background in Earth Observation or environmental science desirable.
• Experience with large-scale data processing and GPUs.

Responsibilities

• Train and develop new Earth Observation models and run high-resolution inference across national or global scales.
• Collaborate with practitioners and policymakers to translate data into environmental decisions.
• Contribute to open source software and data pipelines.

Skills

Machine learning

Software engineering

Research

Job description

University of Cambridge, in collaboration with the University of Manchester, offers a PhD studentship in AI for Decision Making for Complex Systems. The project spans one year at Manchester and three years at Cambridge, with a strong emphasis on Earth Observation, environmental science and scalable model development.

Selected candidates will train state-of-the-art models, perform large-scale inference, and contribute to open source code and data workflows while collaborating with policymakers