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Monash University — Fully Funded AI PhD in Dynamic Conservation Planning (2027)

Monash University

Monash University offers a three-year fully funded PhD in data science and AI for adaptive biodiversity conservation planning. Domestic and international applicants may submit an expression of interest by 20 November 2026 for an early 2027 start.

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Monash University’s Environmental Informatics Hub is recruiting a doctoral researcher for a project on combinatorial optimisation for constrained, dynamic conservation planning. The work will build quantitative methods that account for real-world restrictions, stakeholder needs and changing conditions when protecting biodiversity, with potential methods including mathematical programming, stochastic optimisation and reinforcement learning. The project works with conservation agencies and welcomes applicants from mathematics, computer science, data science, economics or AI, as well as ecology or biology candidates willing to learn optimisation. Submit the expression-of-interest form linked from the official project page with a one-page CV and academic transcripts by 20 November 2026. The expected start is early 2027.

Host country/countriesAustralia
Eligible countries/nationalitiesAll nationalities
Study levelPhD / Doctorate
Field of studyArtificial Intelligence
Funding typeFully funded
DeadlineNov 20, 2026
Academic year/intake2027 Early 2027
Application feeCheck provider details.

Source and verification

Check the current official call before applying

Recorded source check: October 21, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.

Open source: www.monash.edu

Benefits

The university explicitly describes a three-year fully funded PhD scholarship. The project page does not specify the exact stipend or fee breakdown; confirm the scholarship award terms with Monash.

Eligibility summary

Open to domestic and international applicants. Relevant quantitative backgrounds include mathematics, computer science, data science, economics and AI; ecology or biology applicants willing to develop mathematical optimisation skills are also welcome. Formal Monash PhD admission requirements apply.

Requirements

Interest in AI or optimisation for biodiversity conservation and capacity for doctoral research. Review the Monash project page and EOI form before applying.

Documents required

Expression-of-interest form, one-page CV and academic transcripts.

Language/test requirements

Check provider requirements for language or test requirements.

Listing-board disclaimer

Prime Scholarship Alerts is an independent listing board, not the scholarship provider, university or funder. We do not select applicants, collect provider application fees or guarantee an award. Verify requirements, deadlines, funding, fees and application instructions through the current provider page before applying.

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