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Detalles de la oportunidad

CSIRO Industry PhD Scholarship: Clinical lab automation with AI human robot interface

Salario
AUD 48,000 per year
Duración del contrato
Four years
Tipo de contratación
Fixed-term / Temporary
Tipo de puesto
Doctorado
Departamento
Data61
Fecha de publicación
September 19, 2026
Correo de contacto
ivan.lee@adelaide.edu.au
Área de investigación
Artificial intelligence
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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


Contacto académico

Associate Professor Ivan Lee Data61 ivan.lee@adelaide.edu.au
Last Update CSIRO (Australia's National Science Agency) research.csiro.au
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