Academic ConnectSenior Research Engineer (Robotic Vision & Autonomous Systems)
- Reference number: 26009
- Term: Fixed-term, full-time basis for two (2 ) years
- Remuneration: $138,193 to $156,633 pa (HEW8) (inclusive of $116,774 to $132,357 salary pa, 17% superannuation and 17.5% recreation leave loading)
- Location: Gardens Point (hybrid option available)
- Open to: Current staff members of QUT who have unrestricted work rights in Australia for the duration of the fixed-term appointment. In support of our strategic priority of Indigenous Australian success, Aboriginal Australians and Torres Strait Islander people who are not QUT staff are also eligible and encouraged to apply. Please note that current staff wishing to be considered for secondment to this position must seek prior approval from their supervisor before submitting an application.
Who are we looking for?
We are seeking a Senior Research Engineer (Robotic Vision & Autonomous Systems) to join Office of the Senior Deputy Vice-Chancellor and Vice-President (Research), Academic Division.
The Senior Research Engineer (Robotics and Autonomous Systems) is skilled in both hardware and software robotic implementations. The role will involve designing and delivering systems in domains such as computer vision, artificial intelligence, machine learning and deep learning, and will support robotic field trials and data collection. An important component of the role is to coordinate and support a broad range of research activities within the robotics and autonomous systems domain. This position works within a ten-person engineering team, operating under broad direction with minimal supervision, and will require the ability to work independently, while applying a high level of judgement. The Senior Research Engineer (Robotics and Autonomous Systems) will be part of Research Engineering Facilities (REF) of Research Infrastructure group of QUT. The role supports the QUT and QUT Centre for Robotics' core research activities, and takes a lead in creating demonstrations for, and working with, industry. We are looking for someone who likes building things and can integrate systems to help develop both robotic and perception platforms.
We’re offering this role as a hybrid position as part of QUT’s commitment to embracing the opportunities created by a more virtual and connected world.
About us
QUT is a major Australian university with a global outlook and a 'real world' focus. We are an ambitious and collaborative institution that seeks to equip our students and graduates with the skills they will need in an increasingly disrupted and challenged world.
QUT has experienced the strongest, sustained research growth of any university in the sector over the last ten years. The scale and complexity of research at QUT has reached a level that requires enhanced processes and resources to support the University’s research community in meeting its aspirations and compliance obligations. Research Infrastructure (RI) delivers coordinated University-wide research infrastructure capabilities through distinct research facilities. In collaboration with internal and external partners, the unit acquires, facilitates access to, develops, and manages world-class research infrastructure capabilities..
What you need to succeed
- Postgraduate qualifications or progress towards postgraduate qualifications in Computer Science, Physics, Engineering (Aerospace, Computer Systems, Electrical, Mechatronics, Mechanical) or related discipline and extensive relevant experience; or an equivalent combination of relevant experience and/or education/training.
- Demonstrated ability to contribute to the design and delivery of robotics through:
- Programming experience in C or C++ language, under a Linux environment.
- Demonstrated software and hardware integration skills including knowledge and experience in complex system integration, such as embedded computers, GNSS/INS systems, RGB-D cameras, LiDAR, radar, IR/hyperspectral cameras, and other sensors.
- Understanding and experience with development of electrical wiring diagrams, schematics and installation drawings.
- Knowledge or experience of Robot Operating System (ROS), tools for training and using deep learning algorithms and in image processing and computer vision algorithms and solutions using open-source software packages such as OpenCV, as well as machine learning libraries and packages such as PyTorch, TensorFlow and Caffe.
- Programming experience in Python or MATLAB.
- Sound knowledge of systems and software engineering principles and software development paradigms including software revision control approaches.
- Demonstrated ability to develop creative and novel solutions to adhere to continuous improvement and/or transformational change.
- Demonstrated ability to work effectively within a team environment, as well as independently with minimal supervision in the completion of work tasks to deadlines with a high degree of accuracy and attention to detail.
- Well-developed oral and written communication skills with demonstrated ability to present research findings to internal and external audiences through written and verbal reports and technical documentation.
Life at QUT
We're committed to building a culture that fosters connection between people and purpose. Beyond personal and professional fulfillment, a career at QUT offers:
- A healthy work-life balance with a blend of on-campus and off-campus work arrangements for applicable positions.
- Competitive remuneration with up to 17% superannuation and leave loading of 17.5%.
- Generous parental leave including primary carer parental leave of up to 26 weeks (including 17% super).
- Stay healthy with Fitness Passport and enjoy discounted rates on private health insurance.
- Purchased Leave Scheme - up to 8 extra weeks.
- Salary Packaging Scheme for additional superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms.
- Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme.
- Commitment to our Indigenous Australian staff through initiatives such as the Indigenous Australian Staff Network, Cultural and Ceremonial Leave, Staff Development Workshops, and representation on university committees.
Explore more benefits of life at QUT.
Belong at QUT
We are guided by our values of Ambition, Integrity, Inclusiveness, Innovation, and Academic Freedom and our QUT Connections in our mission to inspire and shape the next generation of change-makers.
As part of our commitment to fostering an inclusive workplace, we proudly support our Indigenous Australians Employment Strategy, aiming for an Indigenous Australian workforce participation of 3.6%. We extend a warm invitation to Aboriginal Australians and Torres Strait Islander people to join us in pursuing a rewarding career at QUT.
We believe that diversity is our strength and are dedicated to creating safe, inclusive spaces where everyone can thrive. We strongly encourage individuals from diverse cultures, ages, linguistic backgrounds, sexual orientations, and gender identities, and those who are living with disabilities to apply for positions at QUT.
At QUT, diversity is not just embraced—it's celebrated. See our commitment
How to Apply
Discover the possibilities that await with a career at QUT. If you're ready to embark on a journey of innovation and opportunity, we're excited to meet you.
Find out more about this position and submit your application by clicking 'Apply' or the link below.
View the job details at: Senior Research Engineer (Robotic Vision & Autonomous Systems)
Job opens: 17-Feb-2026
Applications Close: 03-Mar-2026 at 11.30pm
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