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Research Fellow

Research Fellow

  • 561218
  • Canberra / ACT, ACT, Australia, 2601
  • Fixed Term
  • Closing at: Mar 8 2026 - 23:55 AEDT
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Classification: Academic Level B
Salary package: $121,598 - $137,870 per annum plus 17% superannuation
Terms: Full Time, Fixed term (up to 24 months)

  • Work with world leading researcher in computer vision and machine learning
  • Contribute to impactful research on real-world problems in 3D shape design
  • Collaborate with international researchers at ANU, Australia and EPFL, Switzerland

About the opportunity
The Research Fellow will contribute to the ARC Discover Project, "Differentiable Optimisation for Constrained Three-dimensional Shape Design." The successful candidate will work under the supervision of Prof Stephen Gould and Dr Dylan Campbell to develop novel techniques for designing constrained 3D shapes, such as airfoils, using a framework of differentiable optimisation. The project involved collaboration with researchers at EPFL, Switzerland and may involve travel to meet with the research team there. It is expected that research leads to high impact outcomes including publications in top-tier venues and open-source software. Successful candidates will also work along side PhD students working on related problems in computer vision and machine learning, and contribute to their development. A strong background in numerical optimisation, deep learning and computer vision is required.

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 Stephen Gould, Professor of Computer Science, T: +61 2 6125 8642 or E: stephen.gould@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 & 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: 

  • 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 1-page statement addressing the selection criteria. 
  • A 1-2 page statement outlining your approach to coursework education and student project supervision. 
  • A 1-2 page statement outlining your research objectives for the next 3 years if appointed
  • Other documents, if required. 

Please note: The successful candidate must have rights to live and work in this country and 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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