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Quantum-AI for Food Security and Student Wellbeing at University of Southern Queensland: Enhancing Hydroponic Resilience and Therapeutic Learning in Food Ladder’s Urban Ecosystems 2026

Apply to Quantum-AI for Food Security and Student Wellbeing at University of Southern Queensland: Enhancing Hydroponic Resilience and Therapeutic Learning in Food Ladder’s Urban Ecosystems 2026 which can be taken at and provides AUD 47,020

Deadline: 20 Aug, 2026phd

Updated 23 Jul 2026

Overview

Details about Quantum-AI for Food Security and Student Wellbeing at University of Southern Queensland: Enhancing Hydroponic Resilience and Therapeutic Learning in Food Ladder’s Urban Ecosystems 2026 Quantum-AI for Food Security and Student Wellbeing at University of Southern Queensland: Enhancing Hydroponic Resilience and Therapeutic Learning in Food Ladder’s Urban Ecosystems 2026 is offered for PhD degree in the field of Sciences. You can apply to this scholarship here . The deadline for the sending your application is 20 Aug, 2026 . This scholarship is provided by University of Southern Queensland and the value of this scholarship is Partial Funding, AUD 47,020 . This scholarship is open for: Open to Australian and New Zealand nationals only. Degree: PhD Provided by: University of Southern Queensland Provider: University of Southern Queensland. Details are indicative and may change — verify on the official scholarship site before applying.

Eligibility

Eligibility Criteria: The applicant must be an Australian or New Zealand citizen, or Australian permanent resident, meet university PhD admission and English language requirements, and not have previously completed a PhD. The applicant must not be in receipt of another primary scholarship, be able to commence full-time in the year of the offer, and enrol as a full-time PhD student at the agreed project location(s), complying with university external enrolment procedures if required. The applicant’s part-time enrolment is strongly discouraged but may be considered only if approved by the supervisory team and in accordance with university policy, noting that part-time scholarships are taxable. Selection Criteria: The applicant must be proficient in Python, machine learning, and preferably quantum machine learning, with a strong interest in sustainability, education, and youth development. The applicant will apply reinforcement learning to optimise resource allocation in hydroponic systems, analyse mixed-methods data (quantitative biometrics and qualitative focus groups), and collaborate with educators, engineers, and industry partners. Application Process: Submit digital copies of your CV (including research presentations/publications), Preliminary Research Thesis Topic Proposal (DOTX, 153 KB, completed with Rajib Rana – Rajib.Rana@unisq.edu.au), education qualifications (testamur and transcripts for all degrees), and a Supervisor Support Letter; Applications must be submitted via the UniSQ Scholarship Application Management System by the closing date. Award: Stipend of AUD 47,020. Deadline: Position to remain open until filled. Note: Maximum period of tenure of an award is 4 years. Periods of study already undertaken towards the degree will be deducted from the period of tenure. Source : University of Southern Queensland Disclaimer: All Content, Logo and Company names are registered trademarks o

Benefits

Partial Funding , AUD 47,020

FAQs

Who can apply for Quantum-AI for Food Security and Student Wellbeing at University of Southern Queensland: Enhancing Hydroponic Resilience and Therapeutic Learning in Food Ladder’s Urban Ecosystems 2026?

Eligibility Criteria: The applicant must be an Australian or New Zealand citizen, or Australian permanent resident, meet university PhD admission and English language requirements, and not have previously completed a PhD. The applicant must not be in receipt of another primary scholarship, be able to commence full-time in the year of the offer, and enrol as a full-time PhD student at the agreed project location(s), complying with university external enrolment procedures if required. The applicant’s part-time enrolment is strongly discouraged but may be considered only if approved by the supervisory team and in accordance with university policy, noting that part-time scholarships are taxable. Selection Criteria: The applicant must be proficient in Python, machine learning, and preferably quantum machine learning, with a strong interest in sustainability, education, and youth development. The applicant will apply reinforcement learning to optimise resource allocation in hydroponic systems, analyse mixed-methods data (quantitative biometrics and qualitative focus groups), and collaborate with educators, engineers, and industry partners. Application Process: Submit digital copies of your CV (including research presentations/publications), Preliminary Research Thesis Topic Proposal (DOTX, 153 KB, completed with Rajib Rana – Rajib.Rana@unisq.edu.au), education qualifications (testamur and transcripts for all degrees), and a Supervisor Support Letter; Applications must be submitted via the UniSQ Scholarship Application Management System by the closing date. Award: Stipend of AUD 47,020. Deadline: Position to remain open until filled. Note: Maximum period of tenure of an award is 4 years. Periods of study already undertaken towards the degree will be deducted from the period of tenure. Source : University of Southern Queensland Disclaimer: All Content, Logo and Company names are registered trademarks o

Is this listing final?

Deadlines and award values change. Always verify on the official scholarship provider website before applying.

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