Descripción del proyecto
Funding and duration
four year scholarship package totalling approximately $48,000 per annum tax exempt (2026 rate); four-year scholarship and research training program.
Project details
Project title
Clinical lab automation with AI-enhanced human robot interface for health practitioners
Project description
This Project will develop an AI-based robotic programming interface based on large-language model that allows practitioners, regardless of their technical expertise, to efficiently program and control robots. The expected outcomes are to improve efficiency in designing and deploying clinical lab automation and to expand the use of robotics within laboratories. This may lead to improvements with workflow for clinical lab automation, particularly during high-demand situations like pandemic outbreaks.
Supervisory team
University
Name of university supervisor | Associate Professor Ivan Lee
Name of university | Adelaide University
Email address | ivan.lee@adelaide.edu.au
Faculty | STEM
CSIRO
Name of CSIRO supervisor | Sarvnaz Karimi
Email address | Sarvnaz.Karimi@data61.csiro.au
CSIRO Research Unit | Data61
Industry
Name of industry supervisor | Peter O’Loughlin
Name of business/organisation | Central Adelaide Local Health Network (CALHN) Inc operating as SA Pathology
Email address | Peter.OLoughlin@sa.gov.au
Further details
Primary location of student | Adelaide University, 1-75, Mawson Lakes Boulevard, Mawson Lakes South Australia
Industry engagement component location | CALHN’s SA Pathology, Frome Road, Adelaide SA
Ideal student skillset | Qualification: Masters or Honours degree in computer science, computer systems engineering, mechatronics engineering or electrical engineering Mandatory skills: proficiency in Python programming, knowledge in machine learning Preferred skills: natural language processing, ROS programming
Application close date | Open until position filled
Apply | Contact Associate Professor Ivan Lee
CSIRO (Australia's National Science Agency)
Adelaide, Australia