PhD Scholarship in Computer Vision and Machine Learning

PhD Scholarship in Computer Vision and Machine Learning

This is a unique and exciting opportunity for a PhD candidate to explore the use of Artificial Intelligence (AI) and computer vision technology for advanced manufacturing and robotics applications.

This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality inspection processes in food packaging to minimise waste and support sustainability.

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$32,841 per annum for three years, with a possible extension of six months (full-time).

One scholarship available

Applicants must have a first-class or H1 honours degree in Computer Science, Engineering or equivalent in a related discipline.

Applicants must satisfy RMIT University’s PhD entry requirements.

Interested applicants should email Dr Ruwan Tennakoon at ruwan.tennakoon@rmit.edu.au with the following information.

  1. Cover letter outlining interest and alignment with the proposed research.
  2. CV (including the names of two referees).
  3. Copy of Bachelor's/Masters transcripts.

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

Applications are now open.

15th November 2022

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:

  • Computer Vision, Signal Processing, Machine Learning knowledge and/or;
  • Experience Industry knowledge and/or;
  • A track record of published (or at least submitted) research articles.

Dr Ruwan Tennakoon: ruwan.tennakoon@rmit.edu.au

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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.

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