Research Fellow

Classification: Academic Level B
Salary package: $121,598 - $137,870 per annum plus 17% superannuation
Terms: Full time, Fixed term (Until March 2028)

• Work with world-leading researchers in robotics, computer vision, and systems and control
• Contribute to impactful research on cutting-edge event-based sensing technologies and algorithms
• Collaborate with researchers at ANU, Monash, and The University of Melbourne

The Position

The Research Fellow will contribute to the ARC Discovery Project “Seeing through Space and Time” with investigators Prof. Robert Mahony (ANU), Dr. Tim Molloy (Monash) and Prof. Girish Nair (University of Melbourne).  The successful candidate will be based at ANU working under the supervision of Prof. Robert Mahony with the opportunity to travel to both the other project nodes. The candidate will be integral to all aspects of the research program in this grant including direct research, student supervision, publication and publicity activities, code development, and collaboration with industry, open source, and academic partners.   The project goal is to develop and demonstrate a stochastic design framework for asynchronous spatio-temporal event-array processing for event cameras.  The project lies at the intersection of robotics, systems and control and computer vision and suitable candidates from any of these domains can be considered. The Systems Theory and Robotics group is a world leading research group in the development of foundational theory, algorithms and technology for application to robotic system, computer vision, and systems and control.  They will contribute to, and in some cases lead, open-source projects working within the team.  They will undertake direct collaborative research with the investigators (Mahony, Molloy, Nair) and with their colleagues and collaborators.  The position provides the opportunity to travel within Australia to pursue collaboration as well as attend international conferences to present research outcomes.  There will be an opportunity to undertaken independent research activities within the constraints of the project commitments as well.   

The Person

The successful candidate will become part of a dynamic research team at ANU working across robotics, systems and control theory, and computer vision, with the opportunity to mentor colleagues and contribute to our inclusive community through interdisciplinary, team-based projects. A strong background in stochastic processes and algorithms for applications in robotics, control, and/or computer vision is required (e.g., state estimation in robotics, stochastic control in systems and control theory, stochastic image processing or probabilistic computer vision).  

The School/Department

The School of Engineering brings together a diverse and welcoming community that is motivated to seek “wicked problems”. We connect divergent thinkers, to explore and pose solutions, that cross the traditional interdisciplinary and global boundaries. We have evolved from our foundational strength in systems thinking, reaching beyond traditional engineering fields. This systems approach embraces our core strengths and is shaped around four focus areas: Aerospace Engineering, Electrical Engineering, Environmental Engineering, Mechatronics. Join us in our fundamental quest of discovery and passionate pursuit of knowledge that goes beyond our lived world.

The College/Division

As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future.

CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation.

We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective.

CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group.

For further information please contact, Robert Mahony, Professor of Engineering T: +61 2 6125 8613, E: robert.mahony@anu.edu.au

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au 

ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities.  For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details.

Application information

In order to apply for this role please make sure that you upload the following documents:

• A statement addressing the selection criteria.
• A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
• Other documents, if required.

Applications which do not address the selection criteria may not be considered for the position.

Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.