Artificial Intelligence (AI) Lab

The BAS AI Lab is a cross-disciplinary group of scientists and engineers developing AI and machine learning technologies to address polar environmental and sustainability challenges.

Our digital technologies are embedded across the breadth of BAS science, engineering, digital twin and net zero projects including: machine learning sea-ice forecasting; AI based marine fuel/time route planning; wildlife observation from space; machine learning oceanographic modelling; marine autonomous planning for decarbonisation;  and satellite based tracking of sea ice and icebergs.

The BAS AI Lab has two overarching objectives:

  • To advance understanding and prediction of environmental change
  • To decarbonise polar operations, including ships and fleets of autonomous underwater vehicles and drones

BAS AI Lab Themes

PhD opportunities

 

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Harrison Abbot

NERC BAS Research Software Engineer

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Tom Andersson

- Machine Learning Research Scientist

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Ellen Bowler

Researcher in Machine Learning

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James Byrne

IT Research Software Engineer

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George Coombs

Data Analyst

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Ben Evans

Researcher in Machine Learning

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Ayat Fekry

NERC BAS Research Software Engineer

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Maria Fox

Principal Researcher in Environmental AI

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Rachel Furner

PhD Student

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Samuel Hall

SDA Digital Twin Manager

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Scott Hosking

Environmental Data Scientist

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Dani Jones

Physical Oceanographer (Adjoint Modelling)

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Martin Rogers

Researcher in Machine Learning

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Jonathan Smith

AI/ML Research Scientist

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Kenza Tazi

PhD Student

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Michael Thorne

Computation Bioinformatics

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Risa Ueno

PhD Student

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Donya Yazdani

AI Researcher in Optimisation and Planning

Digital Twin of the Polar Regions

Digital Twinning is next generation technology for data fusion and computer modelling enabling us to rapidly get answers to “what-if” questions. DTs are already in operation in industry and involve …

IceNet

IceNet is a probabilistic, deep learning sea ice forecasting system developed by an international team and led by British Antarctic Survey and The Alan Turing Institute [Andersson et al., 2021]. …


AI for smart conservation

In the AI for smart conservation project BAS are collaborating with the Government of Nunavut and WWF to develop practical tools for conservation decision making. By combining satellite observations, GPS …

DI4EDS

Environmental data science relies on digital infrastructure (hardware, software and methods) to provide services that help researchers answer questions about the environment around us, and innovators to work out ways …

AI tool to revolutionise polar ship navigation

15 November, 2022

Artificial Intelligence (AI) will enable ships navigating in polar ocean conditions to be more efficient using a new route planning tool created by British Antarctic Survey (BAS) researchers. The tool …




Using AI to track whales from space

4 February, 2021

British Antarctic Survey (BAS) scientists will work with an Artificial Intelligence company after being awarded a contract from the Canadian Space Agency (CSA) to support the protection of an endangered …


PhD centre will nurture new leaders in Earth observation

9 January, 2020

A new centre will enable 50 fully-funded PhD researchers to harness satellite data to tackle global environmental challenges. The Centre for Satellite Data in Environmental Science (SENSE) will bring together expertise in …


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 …











Finale: Impact of the ORCHESTRA/ENCORE programmes on Southern Ocean heat and carbon understanding

8 May, 2023 by Alexandra Weiss, Andrew Meijers, Dave Munday, Dani Jones, Emma Boland, Povl Abrahamsen, Alexander Brearley, Michael Meredith, Shenjie Zhou

The 5-year Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA) programme and its 1-year extension ENCORE (ENCORE is the National Capability ORCHESTRA Extension) was an approximately…

Read more on Finale: Impact of the ORCHESTRA/ENCORE programmes on Southern Ocean heat and carbon understanding

Untangling local and remote influences in two major petrel habitats in the oligotrophic Southern Ocean

1 November, 2021 by Dani Jones, Eugene Murphy, Richard Phillips

Ocean circulation connects geographically distinct ecosystems across a wide range of spatial and temporal scales via exchanges of physical and biogeochemical properties. Remote oceanographic processes can be especially important for…

Read more on Untangling local and remote influences in two major petrel habitats in the oligotrophic Southern Ocean

Inhomogeneity of the surface air temperature record from Halley, Antarctica

1 June, 2021 by Andrew Orr, Gareth Marshall, Hua Lu, Scott Hosking, John King, John Turner, Steve Colwell, Tony Phillips

Commencing in 1956, observations made at Halley Research Station, Antarctica provide one of the longest continuous series of near-surface temperature observations from the Antarctic continent. Since few other records of…

Read more on Inhomogeneity of the surface air temperature record from Halley, Antarctica