2025 HDR Scholarship in AI-driven Mineral Process Optimisation in Australia: (Deadline Rolling)
To provide a funding source to international students undertaking their higher studies in Australia, the Deakin University has organized the HDR Scholarship in AI-driven Mineral Process Optimisation for the academic year 2025-2026.
To be eligible, applicants must be domestic or international candidates who meet Deakin University’s PhD entry requirements. They should be enrolling full-time and hold a first-class honours degree or a master’s degree with a strong research component. Desirable qualifications include a background in engineering fields related to mining, experience with mineral processing (especially milling), and skills in Python programming and advanced control algorithms like reinforcement learning.
- Award
- Application Process
- Clarity of Information
Application Deadline: Open
Brief Description
-
University or Organization: Deakin University
-
Department: Institute for Intelligent Systems Research and Innovation, Faculty of Science, Engineering and Built Environment
-
Course Level: PhD
-
Award: Annual stipend of $45,550 (tax-exempt), relocation allowance, research travel funds, tuition fee offset for international students
-
Access Mode: Online
-
Number of Awards: NA
-
Nationality: Domestic and International
-
The award can be taken in: Australia (Geelong Waurn Ponds Campus)
Eligibility
-
Eligible Countries: All nationalities
-
Acceptable Course or Subjects: The scholarship will be awarded in research areas related to AI-driven mineral process optimisation
-
Admissible Criteria: To be eligible, the applicants must:
-
Be a domestic (Australian citizen, permanent resident, or NZ citizen) or international candidate
-
Meet Deakin University’s PhD entry requirements
-
Be enrolling full-time in the PhD program
-
Hold a first-class honours degree or a master’s degree with a substantial research component
-
Desirable qualifications include:
-
A master’s degree in mining engineering, mechatronics, electrical/electronics engineering or a related field
-
Experience in mineral processing, particularly milling
-
Programming skills in Python and familiarity with optimal control or reinforcement learning
-
-
How to Apply
Candidates must first contact Dr Tao Zhou to discuss the project and application preparation. Upon a successful initial discussion, candidates will be invited to submit a formal application through Deakin University’s PhD application process.
Benefits
-
Stipend: $45,550 per annum (tax-exempt, 2025 rate)
-
Relocation Allowance: $500–$1,500 (based on single or family move)
-
Research Support: $1,500 annually for three years
-
International Students: Tuition fees offset for up to 4 years and single Overseas Student Health Cover (OSHC) policy for the visa duration
-
Scholarship Duration: 3 years, with the possibility of a 6-month extension
CLICK HERE TO READ MORE & APPLY
Kindly Note
All Jobs and Opportunities Published on mucuruzi.com are completely free to apply. A candidate should never pay any fee during the recruitment Process. Even if mucuruzi.com does its best to avoid any scam job or opportunity offer, a job seeker or an opportunity seeker is 100% responsible of applying at his own risk.
Check well before applying, if you doubt about the eligibility of any offer do not apply and notifie to mucuruzi.com via this email: mucuruzi2016@gmail.com and remember to never pay any fee to have a job or get any opportunity, if you do so, do it at your own risk.
