AddressClassification: Academic Level B
Salary package: $110,162 - $124,903 per annum plus 17% superannuation
Term: Full time, Fixed Term (Until 31 December 2027)
The Research Fellow will have the opportunities to:
- Work in the intersection of Artificial Intelligence and Robotics
- Work closely with industry and researchers from the ANU and University of Sydney ACFR in a collaborative manner.
- Work collaboratively under a collaborative project involving 3 universities and over 12 industry partners.
About the College
The ANU by 2025Strategic Plan calls for the University to serve society through transformational research and education. 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 Engineering, Computing and Cybernetics (CECC) hosts three of the key disciplines necessary to help us design, build, regulate and secure the future.
CECC 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 directly supports one of the four pillars of ANU by 2025: 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 post COVID-19.
We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective.
CECC is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College comprises three schools: the School of Computing, School of Cybernetics, and School of Engineering, supported by the Professional Services Group.
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 opportunity
This position is a fixed term for a period of up to 3 years appointment to contribute to the collaborative research project under the ARC Research Hub, Australian Robotics Inspection and Asset Management (ARIAM). Specifically on a collaborative project between Nexxis, the ANU Robotics group, and the University of Sydney ACFR.
Applications are particularly invited from researchers who undertake high impact collaborative research on AI Planning / Machine Learning, with applications on Robotics.
Longer term and/or ongoing appointment may be offered in exceptional cases subject to performance and budget availability as well the candidate’s demonstrated capability and desire to complement the College’s strategic agendas in teaching, research and broader engagement within the University and community.
Enquiries
To enquire about this role, please contact Hanna Kurniawati via email ***************@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 Engineering, Computing and Cybernetics 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.
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:
- A detailed curriculum vitae (CV) including a full publication list and 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.
- A response addressing each selection criteria.
- A 1-2 page statement outlining your research contributions and objectives.
- A video of maximum 3 minutes describing yourself and why you are interested in this position. [Optional]
- A 1-2 page statement outlining your approach to coursework education and student project supervision. [Optional]
- A statement addressing past and/or potential contributions to diversity through research, teaching, and/or service. [Optional]
- Achievement relative to opportunity statement where appropriate [Optional]
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.
