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Classification: ANU Academic Level B
Salary package: $107,475- $121,857 plus 17% superannuation
Term: Full time, Fixed Term (1 year)
ANU is looking for a Research Fellow to join a 3D fitting optimisation and machine learning project with real-life impact.
• The aim is to design, implement, and evaluate data-driven solutions for specified key decision and optimisation problems
• Flexible working arrangements
• Fast turnaround time for the application
About Us
The ANU by 2025 Strategic 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
Position description and selection criteria: Download File LevelBResearchFellow.pdf
This position is a fixed term for a period of 1 year appointment to:
Applications are particularly invited from researchers who undertake high impact collaborative and cross-disciplinary research, and whose expertise contributes to Data Science and Analytics.
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. Additional project funding may become available, and if it does, suitable candidates will be considered for these potential positions as well.
Selection criteria
The breadth and depth of this role are illustrated in the following selection criteria. While candidates should ideally meet all selection criteria, the School of Computing will consider all applications that demonstrate alignment with its mission.
For further information please contact Professor Hanna Suominen, Associate Director (Engagement & Impact), ANU School of Computing, via phone at +61 2 6125 3257 or email
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   
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:  
How to apply
Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: 
Please note: The successful candidate must have rights to live and work in this country and be able to commence within a reasonable timeframe. An offer of employment is conditional on satisfactory results. 
Please note: Due to this timeframe, constrained by the project milestones, interviews will take place, online, using videoconferencing technology, on 8 and 9 March 2023.
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