RMIT/CSIRO Next-Gen Masters - Robust Inspection Approaches based on IoT and Machine Learning

The project aims at developing robust and intelligent visual inspection approaches based on Internet of Things (IoT) and Machine Learning technologies.

This project will be completed in the STEM College and is funded by a 2-year scholarship under a Data61/CSIRO Next Generation Artificial Intelligence program in collaboration with MEMKO SYSTEMS PTY LTD.

Data61/CSIRO Next Generation Artificial Intelligence Graduates program and MEMKO SYSTEMS PTY LTD will provide two Master by Research stipend scholarships for 2 years of $40,500 per annum each. The program will also supply $5,000 per annum for training expenses and $5,000 per annum for travel expenses to each candidate. The program will further provide each candidate with a 3-month industry placement opportunity.

Applicants must have a first-class or 2A honours degree in Electronics/Mechatronics/Biomedical Engineering, Computer Science or equivalent in a related discipline

Applicants must satisfy RMIT University’s Master by Research entry requirements

Applicants must be Australian Citizens or Permanent Residents

Interested applicants should email Dr Ben Cheng and Dr Toh Yen Pang with the following information.

  1. Cover letter outlining interest and alignment with the proposed research, and addressing the eligibility criteria (also see "Further information" below).
  2. CV (including the names of two referees).
  3. Copy of Honours/Masters thesis and/or first-authored published peer-reviewed conference/journal paper(s).

Shortlisted applicants will then be invited to an interview. The selected applicant will be supported to develop a formal Master by Research application to RMIT. A scholarship application will only be successful if the prospective candidate is provided with an offer for admission from RMIT University.

Open now.

The application will close once the positions are filled.

The successful candidate will need to demonstrate:

  • Excellent written and verbal communication skills.
  • Strong computational, programming, algorithms, and data analysis skills.
  • Outstanding research skills
  • Capacity to work independently and as a part of a team.

Applicants with the following knowledge and/or experience are highly preferred:

  • IoT,  Computer Vision, Signal Processing, Machine Learning knowledge and/or experience
  • Industry knowledge and/or experience, particularly in mechanical services
  • A track record of published (or at least submitted) research articles
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.