How to apply
We are seeking applications from those with or expecting to receive a 1st class or 2i 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, and 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.
We are committed to providing an inclusive environment in which diverse students can thrive. The CDT in Environmental Intelligence encourages applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector.
Fully funded 4-year studentships including tuition fees and a stipend at the UKRI standard rate are available for UK students (subject to UKRI eligibility restrictions). A strictly limited number of studentships are available for exceptional international applicants.
Applications are now open for Cohort 5 students to join us in 2023. The closing date for this round of applications is 28th February 2023.
To apply you must submit:
- Your CV
- A personal statement (approximately 500 words) which should tell us about:
- why you think Environmental Intelligence is important?
- your interests, skills and experience and how they are applicable to the role of postgraduate researcher in Environmental Intelligence
- your motivation for applying to this CDT programme
All applications are considered by our multidisciplinary academic panel, who select candidates for interview. The interview process is comprised of a series of non-technical questions (posed by a multidisciplinary panel of 3-4 staff) about Environmental Intelligence and the candidate’s experience, with an opportunity for the candidate to ask their own questions about the CDT or PhD life at the University of Exeter. Interview questions are designed to explore candidates’ applicable skills and experience and suitability for the CDT’s particular PhD training programme. All interviewees will be invited to meet either in-person or virtually with a Student Ambassador from the EICDT Student community. Applicants who are successful at interview will be made an offer for a funded studentship conditional on the confirmation of eligibility and successful completion of the academic admissions process.
If you would like more information about the programme or the admissions process please contact: email@example.com