Artificial Intelligence
3 days ago
The UTS Graduate School of Health, is dedicated to shaping the future of health professions through innovative, practice-based education and high-impact research. Offering programs across Pharmacy, Clinical Psychology, Genetic Counselling, Speech Pathology, Physiotherapy, Orthoptics and Good Manufacturing Practice, we prepare career-ready graduates through problem-based learning, simulated environments and interdisciplinary collaboration.
Our student-focused approach combines cutting-edge curriculum design with research opportunities that treat students as early-career professionals, ensuring they gain the skills, experience and confidence to thrive in their chosen fields.
About the role
We are seeking an experienced Artificial Intelligence (AI) Engineer to lead the development and deployment of cutting-edge AI models that analyse retinal video data for the detection of elevated intracranial pressure.Based within the Vision Sciences group at the UTS Graduate School of Health, this role involves end-to-end design and integration of AI algorithms with embedded hardware, ensuring regulatory readiness and contributing to technical strategy in line with clinical and commercial goals.
You will collaborate with clinicians, engineers, and industry partners on an Australian Economic Accelerator Ignite-supported project to deliver a clinically viable and commercially scalable AI-augmented medical device, advancing UTS's commitment to health technology innovation and research translation.
About You
You will bring advanced expertise in developing and optimising deep learning models, with strengths in computer vision and time-series analysis. Highly independent and solutions-focused, you combine strong problem-solving skills with the ability to communicate complex technical concepts to multidisciplinary teams. With excellent documentation and version control practices, you ensure reproducibility and compliance while fostering effective collaboration with clinicians, researchers, and industry partners in a translational research environment.
To be successful in this role you will need to meet the following key selection criteria for this role:
A bachelor's degree in Computer Science or Artificial Intelligence. (Master's or PhD is not essential but would be desirable)
Evidence of technical leadership in AI projects, including collaboration with multidisciplinary teams and external partners.
Extensive experience in developing, training, and validating deep learning models for computer vision or biomedical applications.
Experience deploying AI models on embedded systems or edge devices (e.g., NVIDIA Jetson) for real-time performance.
Experience managing complex datasets, including preprocessing, annotation, and quality assurance.
What We Offer
Base Salary Range: $140,965 - $147,678 (HEW 9)
This role attracts 17% superannuation (pension) in addition to the base salary.
The position is full-time and will be made 12- month fixed term basis.
UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
How To Apply
Please include the following in your application:
- A copy of your resume and a cover letter stating your motivation for applying for this position and addressing each of the five (5) key selection criteria in the 'About You' section above.
- Each document submitted must include the reference number IRC325344 and your name.
General enquiries or issues with your application may be directed to Marie Hetherington in the UTS Recruitment Team at
Closing Date: Monday, 13th October 2025 at 11.59 pm (AEST)
You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.
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