PhD Scholarship in Computer Vision and Machine Learning

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.

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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Value and duration

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

Number of scholarships

One scholarship available

Eligibility

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.

How to apply

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

Cover letter outlining interest and alignment with the proposed research.

CV (including the names of two referees).

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.

Opening date

Applications are now open.

Closing date

15th November 2022

Further information

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.

Contact

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

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

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

One scholarship available

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.

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.

Cover letter outlining interest and alignment with the proposed research.

CV (including the names of two referees).

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.

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

Cover letter outlining interest and alignment with the proposed research.

CV (including the names of two referees).

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.

Applications are now open.

15th November 2022

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.

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

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