About the Role
We are seeking a highly motivated and enthusiastic candidate with a strong interest in computer vision, AI, and robotics. The ideal candidate will have solid programming skills, particularly in Python, and be well-organized and proactive in their approach to research. Strong written and oral communication skills are essential, as demonstrated through previous academic work, including publications in peer-reviewed journals. The successful applicant will be capable of working independently while also contributing to team discussions and collaborative research projects.
As part of the program, you will have access to world-class research facilities and receive mentorship from leading experts in the field. You will also have the opportunity to publish your work in top-tier academic journals and collaborate with industry partners to apply your research to real-world challenges. In addition, you will be part of a vibrant research community, working alongside like-minded scholars in a supportive and innovative environment.
If you are excited about advancing research in AI and robotics and are ready to take the next step in your academic career, we encourage you to apply. This PhD opportunity will allow you to develop expertise in a highly sought-after field while contributing to groundbreaking technological advancements.
About You
To be suitable for this role you will need to have experience in the below key accountabilities:
- Demonstrated extensive experience in computer vision and artificial intelligence
- Published 2-3 research papers in top-tier venues (ICCV, CVPR, ICIP, ICPR, IEEE Transactions, Springer journals)
- Strong proficiency in Python and PyTorch with proven implementation capabilities
- Substantial experience on deep learning projects, particularly in object detection, segmentation, and classification
- Hands-on experience with sensing technologies, drone operations, or robotic systems
- Working knowledge of Linux operating systems
Qualifications
Hold an appropriate undergraduate, or Masters, degree in related disciplines (e.g. computer engineering, EE, or robotics)
About Swinburne University of Technology
Swinburnes strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research.
To Apply
Please submit your CV and cover letter addressing your suitability for this position.
To review the Position Description and to apply, please scroll down to the bottom of the page.
If you are viewing this advert from an external site, please click apply and you will be redirected to Swinburnes Jobs website to access the Position Description at the bottom of the page.
Please Note: Appointment to this position is subject to passing a Working with Children Check.
If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on
talentacquisition@swin.edu.au Applications Close: Monday 18 March 2025, at 11.00pm
Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance.
Diversity, Equity and Inclusion
Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working together to build a better world.
Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age.
We strongly encourage applicants from diverse Aboriginal and Torres Strait Islander communities. Our Moondani Toombadool Centre leads our Indigenous education and culture at Swinburne, guided by community wisdom and leadership.
We support applicants with disabilities. Adjustments can be requested at any time during the recruitment process. For Reasonable Adjustment requests, including accessible formats for the PD, application form or any other document, please contact
DCR@swin.edu.au or call +61 3 9214 3550.
Please note the above number and DCR email address are for disability or reasonable adjustments queries only. General enquiries about the role can be sent to talentacquisition@swin.edu.au (general enquiries will not be answered by phone).
Victorias Commitment to Action: Improving international student employment outcomes.
As a signatory to
Victorias Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.
As a Circle Back Initiative Employer, we commit to responding to every applicant.
#LI-SW
