[robotics-worldwide][jobs] PhD scholarship (Melbourne, Australia): Humanoid robots in paediatric rehabilitation

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|

[robotics-worldwide][jobs] PhD scholarship (Melbourne, Australia): Humanoid robots in paediatric rehabilitation

cdmccarthy
PhD scholarship:  Humanoid Robots to Support Rehabilitation Activities for Children  

Swinburne University of Technology (Melbourne, Australia) are offering a single scholarship (provided by National ICT Australia)  to support a PhD as part of  a new “Robotics in Paediatric Rehabilitation” project.  Working with the Victorian Paediatric Rehabilitation Service at Melbourne’s Royal Children’s Hospital, the project aims to deploy humanoid “NAO” robots (manufactured by Aldebaran Robotics)  as assistants to children, and support the activities of health professionals who cannot be around 24/7 to interact positively with the children needing rehabilitation support.  This will require the development and evaluation of novel algorithms harnessing state-of-the-art knowledge in computer vision and machine learning, in particular for action recognition and scene understanding.  Other areas of potential research focus include natural language processing, human computer interaction and social robotics.  

In addition to the technical aspects of the project, the PhD candidate will be required to engage regularly with health care professionals, patients (mostly young children) and their carers.  As such, excellent communication and inter-personal skills are a must.  

The prospective PhD candidate will have the following desired skills:
•             Training or experience as a software developer/engineer
•             Experience with computer vision/machine learning/robotic systems
•             Experience with sensors and tracking systems
•             Excellent communications skills, and experience in a multi-disciplinary setting (health care in particular)
•             Experience in data analysis (Qualitative and quantitative).

This is a 3 year (full-time) fully-funded PhD candidacy based at Swinburne University of Technology’s Hawthorn campus.

For more information and enquiries please contact Dr Chris McCarthy by email (cdmccarthy@swin.edu.au).  Interested applicants should attach their CV and any relevant supporting documentation.

Applications close May 31st, 2015.