Research Fellow

Apply now Job no:547761
Work type:Fixed Term
Location:Canberra / ACT
Categories:Academic

Classification: Academic Level B
Salary package: $103,841 to $117,736 per annum plus 17% Superannuation
Term: Continuing (Contingent Funding) – 12 months

• Outstanding opportunity to work in one of the world’s top computer vision and machine learning groups.
• Industry-funded project for 3D modelling and tracking semi-transparent objects.
• Develop cutting-edge methods built on Neural Radiance Fields (NeRFs).

College overview 

The Australian National University (ANU) College of Engineering and Computer Science (CECS) is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of three schools: the School of Computing, School of Cybernetics, and School of Engineering, supported by the Professional Services Group. We aim to bring together expertise in social, technical, ecological and scientific systems to build a new approach. In the College, we draw on our disciplinary foundations to find and solve problems of global importance. Our people build on our traditional world-class expertise and take it in creative, unconventional directions. Through the Reimagine investment, we have the privilege and the responsibility to build a new legacy for the University, the country, and even the world. 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. Join us in shaping a new intellectual agenda to reimagine engineering, computing, and the use of technology in the world.

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.  

 Position overview 

This position is a Continuing (Contingent Funding) position for a fixed term period of 12 months to contribute to to computer vision algorithms for 3D discovery and tracking of semi-transparent objects on factory assembly lines from multi-view RGB video using NeRF style models.

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.

To enquire about this position, please contact Professor Stephen Gould via P: +61 2 6125 8642 or E: stephen.gould@anu.edu.au .

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 and Computer Science 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. 

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. This also includes generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources .  

Application information 

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 of no more than one paragraph addressing each selection criteria.
• (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.

Due to project deadlines and milestones, the ideal candidate will preferably be able to commence in this position by January 2023.

Applications which do not address the selection criteria may not be considered for the position.

Please note: The successful applicant 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.

Position Description & Selection Criteria

Advertised:04 Oct 2022 09:00:00 AM AUS Eastern Daylight Time
Applications close:23 Oct 2022 11:55:00 PM AUS Eastern Daylight Time