PhD Scholarship in Machine Learning-Enabled Processing and Visualization of Dissolved Metal Ion Sensing Data at RMIT University 2025

PhD Scholarship in Machine Learning-Enabled Processing and Visualization of Dissolved Metal Ion Sensing Data at RMIT University 2025

PhD scholarship at RMIT University offers up to AUD 33,000 per year for research on machine‑learning‑enabled processing and visualization of dissolved metal‑ion sensing data. Applications close 28 Feb 2026. Open to all nationalities with a first‑class honours degree in engineering or science.

Eligible Degrees

Eligible Degrees

Doctorate (PhD)

Eligible Nationalities

Eligible Nationalities

Not specified

Destination

Destination

Australia

Eligible Courses

Eligible Courses

Science or Engineering

PhD Scholarship in Machine Learning‑Enabled Processing and Visualization of Dissolved Metal Ion Sensing Data at RMIT University 2025

This PhD scholarship provides partial funding of up to AUD 33,000 per annum for three years, with a possible six‑month extension, and may include a tuition‑fee scholarship for successful candidates.

Eligibility criteria:

  • Hold a first‑class honours or equivalent degree in engineering or science.
  • Meet RMIT’s minimum English language requirement.
  • Demonstrate strong oral and written communication skills.
  • Be able to work effectively within a multidisciplinary research team.
  • Satisfy RMIT’s entry requirements for a PhD by research degree.

Application process:

Interested candidates should email Professor Miao Chen at Miao.Chen@rmit.edu.au.

Benefits:

Selected scholars receive an annual stipend of AUD 33,000, tuition fee coverage when applicable, and the opportunity to work on cutting‑edge machine‑learning projects in metal‑ion sensing.

Deadline:

Applications close on 28 February 2026, though they may close earlier if a suitable candidate is found.

For more information and to apply, visit the official scholarship page: PhD Scholarship in Machine Learning‑Enabled Processing and Visualization of Dissolved Metal Ion Sensing Data.

Frequently Asked Questions

About This Scholarship