PhD Scholarship in Computer Vision

Location
Boroondara, Australia
Posted
14 Feb 2018
End of advertisement period
01 Mar 2018
Ref
0214_02/18_A1
Contract Type
Fixed Term
Hours
Full Time
  • Mechanical and Product Design Engineering
  • Computer Vision
  • 3 year scholarship, Hawthorn location

About the scholarship

A PhD scholarship is available for a high caliber candidate to join an industry led research project. The theme of the project is in the area of automation of plastic repair applications. We are seeking and capable candidates who are interested in pursuing a PhD in the area of computer vision to support this development. The PhD student will work as part of a team of material scientists and robotics researchers aiming to integrate technologies from 3D scanning and computer vision in a novel industrial automation solution. This is a new and very challenging area with high potential for future growth. 

We are pursuing research problems in geometric computer vision, deep learning and robot vision. The ideal candidate is interested in both basic research and practical applications of computer vision and has strong programming skills. In particular, we are interested in topics related to Deep Learning methods for feature detection and 3D pose estimation on surface structures. 

Skills and experience

To be successful in this role you will need to demonstrate the following:

  • Bachelor’s degree (with first class honors) or a Master’s degree in computer science, mathematics, robotics or related field. Significant industrial relevant experience will also be well considered.
  • Strong programming skills.
  • Familiarity of 3D scanning technologies

A full list of the selection criteria is available within the position description

How to apply

To start an application click on 'begin' at the bottom of this page and submit a resume, cover letter and response to the Key Selection Criteria, as listed in the Position Description below.

Please do not email or send paper applications, all applications must be submitted online.

For further information about the position, please contact Mats Isaksson (Senior Research Fellow) 03 9214 4743. 

If you are experiencing technical difficulties with your application, please contact the Recruitment team on +61 3 9214 8600 (option 2).

Should you require further support for an interview due to special needs or consideration, please contact our Diversity Consultant, Dr. Walter Robles, on inclusion@swin.edu.au, or our Aboriginal and Torres Strait Islander Employment Officer, Sherrin Trautmann on strautmann@swin.edu.au. 

Applications close at 5 pm on Thursday 1st March 2018