Climate Change and Environment

Degrees
  • MPhil/PhD Environmental Intelligence
Degree typesTypes of research degrees explained
DurationDegree duration details
LocationExeter (Streatham)
Study modesFull time and part time
Split-site research available Study mode details
Start date September, January or April

Research overview

Environmental Intelligence

The PhD in Environmental Intelligence programme is delivered by the UKRI Centre for Doctoral Training in Environmental Intelligence (CDT EI). The programme pioneers new research in using Data Science and Artificial Intelligence to understand the complex interactions between the environment, climate, natural ecosystems, human social and economic systems, and health.

The increasing availability of large and complex data sets from diverse sources (e.g. environmental monitoring; satellite remote sensing; climate modelling; electronic medical records; social media; and contributions from citizen science) presents an exceptional opportunity to transform our understanding of both the effects of environmental change and our planet-transforming power.

The programme is led by Professor Gavin Shaddick and a team of world-leading researchers, and students will have the opportunity to engage with over 250 researchers at Exeter working in Data Science, AI, and environmental and sustainability research.

Facilities

The College of Engineering, Mathematics and Physical Sciences has excellent teaching and research resources and has recently invested £2.8 million to provide new academic and social facilities. You will have access to our fully-equipped research centres, comprehensive laboratories and workshops and computer facilities including wireless networking in most areas.  As a CDT EI student you will have access to a dedicated office space for CDT students in Hope Hall, and access to a shared break out and social area.

Careers

You will have the opportunity to work with the CDT’s external partners, including the Met Office, and a range of international institutions and businesses, to ensure that you are well versed in both cutting edge methodology and on-the-ground policy and business implementation. During your PhD there will opportunities for placements with our partners and to participate in the Alan Turing Institute’s PhD enrichment programme. Overall, the programme offers will allow you to develop skills highly sought after by employers, while also giving you the opportunity to create a professional network with employers.

Entry requirements

We welcome applications from those who are expected to receive, a 1st class or 2:1 undergraduate degree in a wide variety of subjects relevant to the application of Data Science and AI to environmental challenges. These might include:

  • Computer Science
  • Statistics
  • Mathematics
  • Climate
  • Health
  • Economics
  • Philosophy
  • Social and Environmental Sciences

For those without a computer science/mathematics background, additional training will be provided (if required) both before and after joining the CDT. We are happy to discuss alternative requirements for those with non-standard qualifications and/or experience.

International students

The minimum requirement for entry to the CDT is IELTS 6.5 (with at least 6.0 in each of the four components), or equivalent.

Finance: fees and funding

Tuition fees per year 2022/23

Human Geography research

Physical Geography research

For those studying for more than one year, our fees are expected to increase modestly in line with Consumer Price Inflation measured in December each year. More information can be found on our Student Finance webpages.

Tuition fees per year 2021/22

Human Geography research

Physical Geography research

For those studying for more than one year, our fees are expected to increase modestly in line with Consumer Price Inflation measured in December each year. More information can be found on our Student Finance webpages.

Contact us

Expressions of interest should be sent by email: ei@exeter.ac.uk.

If you would like to have an informal discussion about the CDT, please contact us and we will arrange a suitable time for you to talk to one of the team.

Supervision and support

You will develop your PhD project proposal in Year 1, and select a supervisor before the beginning of Year 2. Supervisors cover a range of disciplines and experiences related to the use of data and AI in addressing environmental challenges.

There is a dedicated CDT administration team to provide you with an excellent student experience, with additional support from the Doctoral College and Wellbeing Services.

Research training

The CDT programme offers an enhanced training programme and as a student in the CDT, you will receive training in the range of skills required to become a leader in Environmental Intelligence:

  1. the computational skills required to analyse data from a wide variety of sources;
  2. expertise in environmental challenges;
  3. an understanding of the governance, ethics and the potential societal impacts of collecting, mining, sharing and interpreting data, together with the ability to communicate and engage with a diverse range of stakeholders.

The training programme has been designed to be open to students with a range of backgrounds relevant to the application of Data Science and AI to environmental challenges. These might include, for example, computer science, statistics, mathematics, climate, health, economics, philosophy, and social and environmental sciences. For those without a computer science/mathematics background, additional training will be provided (if required) both before and after joining the CDT.

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