Classification: Academic Level B
Salary package: $121,598 - $137,870 per annum plus 17% superannuation
Terms: Full-time, Fixed Term (up to September 2028)
This position is a fixed term appointment to contribute to the ARC project "AI Planning: The Next Generation” and to develop Machine Learning methods and other techniques to improve state-of-the-art planners for a variety of planning scenarios, e.g. deterministic planning and planning under uncertainty.
Candidates should be familiar with the area of Automated Planning and knowledge in ML is highly desirable. The successful candidate will be based at ANU working under the supervision of Associate Professor Felipe Trevizan and Professor Sylvie Thiebaux, and collaborate with our large Automated Planning group and Machine Learning group. The candidate will be integral to all aspects of the research program in this project including direct research, student supervision, publication and publicity activities, code development, and collaboration with industry, open source, and academic partners. The Automated Planning group is a world leading research group in the development of foundational theory, algorithms and technology for planning and scheduling. They will contribute to, and in some cases lead, open-source projects working within the team. There will be an opportunity to undertaken independent research activities within the constraints of the project commitments as well.
Applications are particularly invited from researchers who undertake high impact collaborative and cross-disciplinary research, and whose expertise contribute to the Intelligence Systems cluster, School, and College.
About the School/Department
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.
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.
To enquire about this role, please contact Felipe Trevizan, Associate Professor, via phone at +61 2 6125 7542 or email [email protected].
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,
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
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.
