Mechanical design, manufacturing engineering and implement machine learning algorithms for the purpose of robot vision, perception, inspection and autonomy of service robots.
This project will be completed in the STEM College and is funded by a 3.5-year scholarship under a Data61/CSIRO Next Generation Artificial Intelligence program in collaboration with Inergy.
Data61/CSIRO Next Generation Artificial Intelligence Graduates program and Inergy will provide a PhD stipend scholarship for 3.5 years of $40,500 per annum. The program will also supply $5,000 per annum for training expenses and $5,000 per annum for travel expenses for the candidate. The program will further provide each candidate with a 6-month industry placement opportunity.
The application will close once the position is filled.
One scholarship available.
Applicants must have a first-class or 2A honours degree in Mechanical/Electronics/Mechatronics Engineering, Computer Science or equivalent in a related discipline. The successful candidate is expected to demonstrate familiarity with machine learning methods, especially deep learning models and artificial neural networks.
Applicants must satisfy RMIT University’s Master by Research entry requirements.
Applicants must be Australian Citizens or Permanent Residents.
Interested applicants should email Dr Hamid Khayyam at email@example.com with the following information.
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.
The successful candidate will need to demonstrate:
Applicants with the following knowledge and experience are highly preferred:
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.