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Deakin University HDR Scholarship - AI-enabled battery health management systems 2025

Project Supervisor: Dr Samson S. Yu

Additional Supervisor:

  • A/Prof Wei Luo,

  • Dr. Shuaifei Zhao

Institute: School of Engineering

Faculty: Faculty of Science, Engineering and Built Environment

Location: Deakin Burwood Campus

 

Research topic

This project aims to develop artificial intelligence (AI)-based monitoring and estimation models for battery maintenance in Australian heavy industries. Xcel Tech provides next-generation technological solutions to electric trucks for the mining industry, the research team will develop novel and application-based models for specific batteries used in Australian heavy industries, such as mining and agriculture, for the purpose of battery health monitoring, optimal charging and fault diagnosis.

Successful candidate will be supervised by Dr. Samson Yu at School of Engineering and Associate Professor Wei Luo at School of Information Technology. This multidisciplinary team will provide expertise necessary for the candidate to succeed in theoretical and applied research in this project. Industry partner Xcel Tech will provide batteries used in heavy industries for testing and possible implementation of the developed software models, improving battery efficiency and prolonging battery life and contributing to the decarbonization of Australian industry.

This PhD project is in collaboration with Xcel Tech. The project supports the research towards clean energy and battery storage technology.

Table of Content

Summary

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Benefits

This scholarship is available over 3 year  with possibility of up to 6 months extension:

  • Stipend of $45,550 per annum tax exempt (2025 rate)
  • Relocation allowance of $500-1500 (for single to family) for students moving from interstate.
  • Contribution to research purposes including travel: $1,500 per annum for three years
  • International students only:  Tuition fees offset for the duration of 4 years. Single Overseas Student Health Cover policy for the duration of the student visa.

Requirements

To be eligible you must:

  • be a domestic or international candidate. Domestic includes candidates with Australian Citizenship, Australian Permanent Residency or New Zealand Citizenship.
  • meet Deakin's PhD entry requirements
  • be enrolling full time and hold an honours degree (first class) or an equivalent standard master's degree with a substantial research component.

Additional desirable criteria:

  • knowledge of electrical engineering or information technology, with background knowledge in circuits and systems, artificial intelligence, battery operations, and/or broad knowledge in electronics or machine learning
  • industry work experience in battery industry or energy industry, with a deep understanding of industry practices
  • possess strong oral and written communication skills as they will be required to meet with their academic and industry stakeholders on a regular basis
  • ability to travel between Deakin and the industry partner at least once a year for research finding communication and presentation.

Please refer to the research degree entry pathways page for further information.

Application Deadline

Not Specified

How To Apply

Please email a CV and cover letter (including your interest in the project) to Dr. Samson Yu. The CV should highlight your skills, education, publications and relevant work experience. If you are successful, you will then be invited to submit a formal application.

Contact us

For more information about this scholarship, please contact:

View Samson's research profile

For more information, kindly visit Deakin University scholarship webpage.

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