Classification: Academic Level A or Level B
Salary package: $89,313 – $137,870 per annum plus 17% superannuation
Terms: Fixed term, Full time (up to 12 months)
Join us in developing the next generation of integrated Planning and Learning for Resilient Robot Operations
The Research Fellow will be hosted at Robotics Lab within the ANU School of Computing. They will be a member of the ANU School of Computing and the Australian Robotics Inspection and Asset Management (ARIAM) Hub. ARIAM Hub is a collaboration between leading academic researchers and experts from the Australian robotics industry supported by the Australian Research Council to deliver research excellence in robotics for asset management. ARIAM spans 3 leading Australian universities: The University of Sydney, QUT and ANU. The Research Fellow will be supervised and collaborate closely with Prof Hanna Kurniawati, Assoc. Prof. Patrik Haslum and Dr Rahul Shome from the ANU School of Computing. They will also collaborate with leading experts in Robot Control, Prof Ian Manchester from the Australian Centre for Robotics (ACFR) at the University of Sydney, and in Robot Learning, Prof Niko Sünderhauf from the QUT Centre for Robotics at the Queensland University of Technology. The Research Fellow will work on a strategic ARIAM Hub project –that is, a fundamental research project that, if successful, will likely be helpful to multiple industry in the not-so-distant future.
Applications are particularly invited from researchers who undertake high impact collaborative and cross-disciplinary research, and whose expertise contribute to the activity of the ARIAM Hub and the robotics activities at the ANU School of Computing
About the School
The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture.
About the College
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.
Enquiries
To enquire about this role, please contact Professor Hanna Kurniawati via email hanna.kurniawati@anu.edu.au
Our commitment to diversity, belonging, inclusion and equity
ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems and Society to actively seek a gender mix of shortlisted candidates for interview. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion
We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application.
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.
What we offer
The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources
How to apply
Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:
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.
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