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.
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).
Funding
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 12th April 2021.