Senior Research Engineer (Robotics & Autonomous Systems)

Description

Who are we looking for?

We are seeking a Senior Research Engineer (Robotics & Autonomous Systems) to join Research Infrastructure, Research Portfolio, 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:

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 ourIndigenous 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: Queensland University of Technology - Senior Research Engineer (Robotics & Autonomous Systems)

Job opens: 11-Jul-2025

Applications Close: 10-Aug-2025 at 11.30pm

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