Artificial Intelligence Lab

Artificial Intelligence Lab

The BAS Artificial Intelligence Lab (or ‘BAS AI Lab‘) aims to foster the application of various machine learning (and adjacent) techniques to the rapidly growing, complex, and heterogeneous body of data found in atmospheric, oceanic, and Earth sciences.

The BAS AI Lab leads projects under the Alan Turing Institute’s Data Science For Science Programme, including Understanding Arctic sea ice loss. Through our PhD student projects we also collaborate closely with Google DeepMind, World Wildlife Fund, Max Fordham, Mott MacDonald and the UK Met Office.

Machine Learning Workshop 2019
Machine Learning for Environmental Sciences Workshop and Hackathon, BAS, June 2019 (blog post)

PhD opportunities 

  • Centre for Doctoral Training (CDT) in the Application of Artificial Intelligence to the study of Environmental Risks (Website, Twitter)

Current Student Projects

Past talks and meetings

Featured reports

Tom Andersson

Data Scientist

Anita Faul

Data Scientist

Andrew Fleming

Remote Sensing Manager

Mapping and GIS team

Peter Fretwell

Geographic Information Officer

Mapping and GIS team

Rachel Furner

PhD Student

Premdeep Gill

PhD Student

Dan Jones

Physical Oceanographer (Adjoint Modelling)

Polar Oceans team

Andrew Meijers

Deputy Science Leader - Polar Oceans

Polar Oceans team

Tony Phillips

Climate Model Data and Analysis Software Manager

Atmosphere, Ice and Climate team

Jonathan Rosser

PhD Student

Emily Shuckburgh

Dynamical Oceanographer

Polar Oceans team

Co-Supervised and Affiliated Students

Fruzsina Agocs (Kavli Institute for Cosmology, Univ. Cambridge), Matt Amos (Univ. Lancaster), Robert Rouse (Future Infrastructure and Built Environment CDT, Univ. Cambridge), Will Tebbutt (Machine Learning Group, Univ. Cambridge), Simon Thomas (Univ. Cambridge)

Former Members

Shahel Khan (Part III Project, Univ. Cambridge, 2017-2018), Stratis Markou (Internship, Machine Learning Group, Cambridge, 2017), Lille Borresen (Internship, 2018), Daniel Popa-Christobal (Internship, 2018), Harry Holt (paper, Internship, 2017)

AI for Environmental Sciences

21 July, 2019 by Rachel Furner

Rachel Furner is a PhD student at British Antarctic Survey, which has recently opened up its new AI Lab, that aims to foster the application of various machine learning (and …




Using AI to help tackle global environmental challenges

26 February, 2019

A new Centre for Doctoral Training, involving researchers from British Antarctic Survey, will develop Artificial Intelligence (AI) techniques to address critical environmental challenges. Climate change and environmental hazards pose some …



Watching whales from space

1 November, 2018

Scientists have used detailed high-resolution satellite images provided by Maxar Technologies’ DigitalGlobe, to detect, count and describe four different species of whales. Reported this week in the journal Marine Mammal …



FEATURED PAPER: Temperature change in Sichuan

13 November, 2017

The Sichuan basin is one of the most densely populated regions of China. Along with insufficient arable land and economic underdevelopments, this region is particularly vulnerable to climate-related stresses. Improving …