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Coventry-Deakin Cotutelle - AI for agricultural adaptaion and resilience

Coventry-Deakin Cotutelle - AI for agricultural adaptaion and resilience

Deakin University · 🇦🇺 Australia

Coventry-Deakin Cotutelle - AI for agricultural adaptaion and resilience

Deakin University · Australia

Who it is for

  • Deakin-Coventry Cotutelle: AI for agricultural adaptation and resilience Applications close 5 June 2026 Supporting a PhD candidate to research AI-enhanced climate storylines for agricultural adaptation and resilience between Australia (Deakin University) and the United Kingdom (Coventry University).
  • Coventry is the lead institution.
  • Key details Project supervisorsDr Bahareh NakisaAdditional supervisorsA/Prof Robert FaggianA/Prof Jonothan Eden (Coventry)Prof Matthew England (Coventry)Deakin faculty and schoolFaculty of f Science,
  • Engineering and Built EnvironmentSchool of Information TechnologyLocationDeakin Melbourne Burwood Campus (Australia) and Coventry University (United Kingdom) Value and duration This scholarship is available over three years and offers:a stipend of £21,805 (UKRI) per annum (2026 - 2027 rate)at least 12 months of the total period of the program at
  • Deakin University.students will be enrolled at their home institution and at their host institution and will receive a Doctoral degree from Coventry University and Deakin University.For international students, the awardee will also receive:single Overseas Student Health Cover policy for the duration of the student visa.
  • Research aim Help shape the future of climate-resilient agriculture by using cutting-edge AI to turn complex climate extremes into powerful, real-world stories that support farmers, food systems and communities in adapting to a changing climate.Agricultural systems are increasingly vulnerable t ||| Am I eligible?
  • To be eligible you must:be a domestic or international candidate.
  • Domestic includes candidates with Australian Citizenship, Australian Permanent Residency or New Zealand Citizenshipmeet the PhD entry requirements of both Deakin University and Coventry University,
  • including equivalence and English language proficiency criteria enrol full time be able to physically locate to both Coventry University (United Kingdom) and Deakin University (Australia).Additiona criteria:applicants should have a strong background in Information Technology, Computer Science, Artificial Intelligence, Data Science,
  • Machine Learning, Software Engineering, or a closely related discipline.
  • They should be comfortable working with computational methods, data pipelines, AI-enabled systems, and ideally some combination of modelling, analytics, and human-centred system design.a secondary background, interest, or demonstrated exposure in climate change, environmental science, agricultural systems, sustainability,
  • or climate adaptation would be advantageous, particularly where it relates to decision-support, scenario analysis, or the interpretation of environmental data.
  • Candidates who can bridge technical AI capability with applied climate or environmental problem-solving will be especially well suited to the project.Please refer to the research degree entry requirements page and Coventry University's research entry criteria page for further information.
  • Ready to apply?
  • Applicants should contact Dr Bahareh Nakisa to discuss the project before being invited by Deakin University to lodge a formal application.If successful you will then lodge a separate PhD application to Coventry University via the Coventry application page.
  • Email Dr Bahareh Nakisa Research degree entry requirements Set you

Key facts

Award value
£21,805/year
Covers
Living costs, Insurance
Funding type
Living stipend
Deadline
Applications close 5 June 2026 Supporting a PhD candidate to research AI-enhanced climate storylines for agricultural
Level
Doctoral
Fields
Sciences, Engineering
Provider
Deakin University

Figures as stated by the provider. Confirm the current round on the official page before applying.

Facts checked against the official source. Last updated 15 September 2026.