Research Fellow in Legged Motion Planning and Optimisation

  • Design and develop novel algorithms for intelligent decision-making in the presence of uncertainty
  • Apply the algorithms on a novel type of legged robot operating in confined environments
  • Collaborate with leading research groups in robotics and work closely with the industry that develop the robot
  • POSTED: May 10, 2024
  • CLOSES: June 10, 2024
  • LOCATION: Canberra, Australia
  • POSITION: Research Fellow
  • ORGANISATION: Australian National University (ANU)
  • SUPERVISOR: Prof. Hanna Kurniawati

About the College

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.

The School of Computing is one of the three schools of CECC. It 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.

About the opportunity

This position is a fixed term for a period of up to 3 years appointment.

The Research Fellow 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. This position will be co-supervised by Professor Hanna Kurniawati, Robust Decision-making Lab at the Australian National University, and Professor Ian Manchester, Australian Centre for Robotics (ACFR) at the University of Sydney. This position involves working closely with one of the ARIAM Hub industry partners, Nexxis. The Research Fellow will also work as part of the ARIAM team and collaborate across multiple groups across the Hub.

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

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.

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:

To enquire about this role, please contact Prof Hanna Kurniawati via 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.

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 statement addressing the selection criteria.
  • 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 / be able to obtain the 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. 

Apply now