Skip to main content
University of Cambridge
AI for the study of Environmental Risks (AI4ER)

AI for the study of Environmental Risks (AI4ER)

  • Home
  • AI4ER Partners

About AI4ER

  • About AI4ER overview
  • Find us
  • Applying to us
  • MRes (Year 1)
  • PhD (Years 2-4)

Research

  • Research overview
  • Publications

Space, oceans and polar science

  • Space, oceans and polar science overview
  • Space, oceans and polar science - staff
  • Space, oceans and polar science - students

Built environment and energy

  • Built environment and energy overview
  • Built environment and energy - students
  • Built environment and energy - staff

Carbon capture and carbon credits

  • Carbon capture and carbon credits overview
  • Carbon capture and carbon credits - staff
  • Carbon capture and carbon credits - students

Climate and air quality

  • Climate and air quality overview
  • Climate and air quality - staff
  • Climate and air quality - students

Ecology and biodiversity

  • Ecology and biodiversity overview
  • Ecology and biodiversity - staff
  • Ecology and biodiversity - students

Geophysical and environmental modelling

  • Geophysical and environmental modelling overview
  • Geophysical and environmental modelling - staff
  • Geophysical and environmental modelling - students

Natural resources and forests

  • Natural resources and forests overview
  • Natural resources and forests - staff
  • Natural resources and forests - students

Training

  • Training overview
  • Placements
  • Training and other useful resources
  • Wellbeing resources

People

  • People overview
  • CDT Directors
  • CDT Support
  • Academic Staff
  • Mentors for Students

Students

  • Students overview
  • 2019 Students
  • 2020 Students
  • 2021 students
  • 2022 students
  • 2023 Students

Aligned students

  • Aligned students overview
  • Current aligned students
  • Aligned student alumni

Equality and Diversity

  • Equality and Diversity overview
  • Student Support
  • ED&I training
  • Recruitment and admissions
  • Feedback and annual survey
  • ED&I Committee
  • ED&I useful resources and links

Current Students

  • Current Students overview
  • MRes students
  • PhD students
  • Current Students
  • Miscellaneous
  • Home
  • About AI4ER

    About AI4ER

    About AI4ER overview
    • Find us
    • Applying to us
    • MRes (Year 1)
    • PhD (Years 2-4)
  • Research

    Research

    Research overview
    • Space, oceans and polar science
    • Built environment and energy
    • Carbon capture and carbon credits
    • Climate and air quality
    • Ecology and biodiversity
    • Geophysical and environmental modelling
    • Natural resources and forests
    • Publications
  • Training

    Training

    Training overview
    • Placements
    • Training and other useful resources
    • Wellbeing resources
  • AI4ER Partners
  • People

    People

    People overview
    • CDT Directors
    • CDT Support
    • Academic Staff
    • Mentors for Students
    • Students
  • Equality and Diversity

    Equality and Diversity

    Equality and Diversity overview
    • Student Support
    • ED&I training
    • Recruitment and admissions
    • Feedback and annual survey
    • ED&I Committee
    • ED&I useful resources and links
  • Current Students

    Current Students

    Current Students overview
    • MRes students
    • PhD students
    • Current Students
    • Miscellaneous
    • Home
    • About AI4ER
    • Research
    • Training
    • AI4ER Partners
    • People
    • Equality and Diversity
    • Current Students
  1. Home
  2. Training
  3. Images Skills

Training

  • Training overview
  • Placements
  • Training and other useful resources
  • Wellbeing resources

Images Skills

images skills

AI for the study of Environmental Risks (AI4ER)

Contact Information

Department of Earth Sciences Madingley Rise House, Madingley Road Cambridge CB3 0EZ
ai4er@esc.cam.ac.uk

University of Cambridge

Logo © 2026 University of Cambridge
Privacy policy Accessibility Freedom of information Modern slavery Terms and conditions