University of Adelaide
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PhD Opportunity in AI and Optimisation for Housing Development at Adelaide University Adelaide University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
$53,815 p.a. for 4 years plus tuition fee waiver. Industry embedment with DDDI Group is included.
Deadline
Sep 30, 2026
Country
Australia
University
University of Adelaide

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About this position
Adelaide University and DDDI Group are advertising a PhD opportunity focused on AI, machine learning, optimisation, programming, and urban planning for a real-world housing development challenge: Unlocking Australia’s Hidden Housing Supply.
The project aims to develop AI and optimisation tools that can identify development potential, generate subdivision plans, and navigate complex planning requirements. This is a strong fit for applicants interested in computational methods applied to housing, development, and planning workflows.
Location: City Campus, Australia.
Funding: $53,815 per annum for 4 years, plus a tuition fee waiver. The project also includes industry embedment with DDDI Group.
Eligibility highlights: Applicants should have a strong background in Computer Science, machine learning, optimisation, or programming. Full eligibility criteria are provided in the attached project information.
Deadline: Applications close 30 September 2026 and may close early.
Interested candidates should review the attached project information for complete details on the project, eligibility, and how to apply.
Funding details
$53,815 p.a. for 4 years plus tuition fee waiver. Industry embedment with DDDI Group is included.
What's required
Strong background in Computer Science, machine learning, optimisation, or programming. The project is for a PhD candidate and is tied to industry embedment with DDDI Group. Full eligibility details are in the attached project information.
How to apply
Review the attached project information for full details, eligibility, and application instructions. Submit the application before 30 September 2026; the opportunity may close early.
More information can be found here
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