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Fully funded 4-year PhDs in Environmental Intelligence, starting in September 2021

University of Exeter - Centre for Doctoral Training (CDT)

Qualification Type: PhD
Location: Exeter
Funding for: UK Students, EU Students, International Students
Funding amount: See advert text
Hours: Full Time
Placed On: 26th February 2021
Closes: 15th April 2021

Environmental Intelligence is the use of big data and AI to enhance our understanding of the complex interactions between the environment, climate, natural ecosystems, human social and economic systems, and health. 

The PhD Programme

The Centre for Doctoral Training (CDT) provides a 4-year PhD programme designed for students from a range of academic backgrounds. As a postgraduate researcher in the CDT, you will receive training in the skills required to become a leader in Environmental Intelligence:

  • Computational skills to analyse data from a wide variety of sources
  • Expertise in environmental challenges
  • 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.

Year 1 of the PhD programme is largely devoted to training - delivered through a combination of taught courses and projects. Towards the end of Year 1, students will be supported to select their PhD topic, develop a proposal, and establish a supervisory team. Supervisors cover a broad range of relevant disciplines, reflecting the University of Exeter’s research strengths in both data science and AI, and the environmental and social sciences. 

Students will also have the opportunity to work with the CDT’s external partners, including the Met Office and a range of international institutions and businesses, to gain experience in both cutting-edge methodology and on-the-ground policy and business implementation. 

Entry requirements

 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 for example, computer science, statistics, mathematics, climate, health, economics, philosophy, humanities, social and environmental sciences. For those without a computer science or mathematics background, additional training will be provided (if required). We are happy to discuss alternative requirements for those with non-standard qualifications and/or experience. 


Fully funded 4-year studentships at the UKRI standard rate are available for UK and EU students  (subject to UKRI eligibility restrictions). A strictly limited number of studentships are available for exceptional international applicants. 

Applications must be submitted by 15th April 2021.

For more information and to apply visit our website.

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