RMIT-CSIRO Next-Gen PhD in Context and Activity Recognition for Personalized Behaviour Recommendation

The project aims at developing a highly scalable and adaptive mobile service delivery platform for efficiently and effectively tracking and infering users’ activities.

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 PI Network.

Data61/CSIRO Next Generation Artificial Intelligence Graduates program and PI Network 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.

Open now.

The application will close once the position is filled.

Applicants must have a first-class or 2A honours or a master's degree in Computer Science or equivalent in a related discipline, and must demonstrate familarity with machine learning, data mining, and recommendation systems.

Applicants must satisfy RMIT University’s Doctor of Philosophy entry requirements.

Applicants must be Australian Citizens or Permanent Residents.

Interested applicants should email Professor Xiaodong Li (xiaodong.li@rmit.edu.au) and Professor Xiaojun Chang (xiaojun.chang@uts.edu.au) 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 or a first-authored published peer-reviewed journal paper (if applicable).

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:

  • 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 experience are highly preferred:
  • Machine learning and data science, in particular experience in developing solutions for user behaviour analysis based on social media data.
  • A track record of published (or at least submitted) research articles.

 

Professor Xiaodong Li (xiaodong.li@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.