Home » International Scholarships for Students » HDR Scholarship in AI-driven Mineral Process Optimisation, Australia

HDR Scholarship in AI-driven Mineral Process Optimisation, Australia

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
4
Sending
User Review
0 (0 votes)

Deakin University is a leading public university in Australia, known for its strong emphasis on innovation, industry partnerships, and high-quality research. With campuses in Victoria, including the main one at Geelong Waurn Ponds, Deakin offers a supportive learning environment, world-class facilities, and a global perspective.

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

Apply Now