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Research Fellow

Australian National University - Canberra, ACT

Education, Childcare & Training
Source: uWorkin


Classification: Level B

Classification: Academic Level B
Salary package: $99,809 - $113,165 per annum plus 17% Superannuation
Term: Fixed Term, Full time (2 years)

The Australian National University is seeking to recruit a full time Research Fellow in the areas of 3D Computer Vision and Deep Learning to join the ANU computer vision and machine learning research group. 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 or who have achieved excellence in careers outside of academia.We support applicants who require flexible arrangements in their work environments or patterns.

You will be responsible for developing new approaches for camera localisation and 3D computer vision algorithms and implementing and evaluating practical systems targeting at augmented reality and/or autonomous driving applications.

You will have an outstanding opportunity to work in one of the world's top computer vision and machine learning groups on the exciting new topics of 3D reconstruction and deep learning. You will be working with a collaborative team of world leading academics, early career researchers and outstanding PhD students. You should possess a recent PhD degree, or be near completion, in 3D computer vision, machine learning, or a relevant subject, together with a strong publication record, relative to opportunity, at primer computer vision, machine learning, or robotics conferences (CVPR, ICCV, ECCV, NeurlPS, ICLR, ICRA, RSS).

College overview

ANU is a world-leading research-intensive universities in the world, and has been constantly ranked among the QS world ranking top 20 to top 30. The ANU College of Engineering and Computer Science (CECS) is one of the premier engineering and computer science research institutions. CECS is dedicated to contributing to The Australian National University’s reputation for excellence in research and research-led education, bringing together expertise across a range of areas to reimagine the role of engineering and computing for future generations. CECS is a diverse and vibrant community dedicated to discovery and to making knowledge matter. Our academics and students are engaged in ground-breaking, cutting-edge research, in exciting areas such as renewable energy, robotics, telecommunications, biomaterials, human-machine interaction, and artificial intelligence (logic and symbolic reasoning, computer vision, and machine learning).

The School of Computing is unique in Australia. It includes a creative mix of staff and students that embrace the breadth of computer science profession. It is a collaborative community dedicated to discovery and to making knowledge matter. It contains world-class academics undertaking high-quality research, training of research students and delivering coursework teaching programs.

Position overview

This position is a fixed term appointment for a period of 2 years to contribute to a Government funded research grant. Applications are particularly invited from researchers whose interests and expertise are in the areas of 3D computer vision, machine learning, deep learning and visual SLAM for mobile robot and autonomous vehicle.

For further informal inquiry, please contact the Hiring Manager, Professor Hongdong Li, T: +61 2 6125 7708, E: [email protected]

ANU values diversity and inclusion and believes employment opportunities must not be limited by socio-economic background, race, religion or gender. The University actively encourages applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion

How to Apply?

All applicants must formally apply online via the ANU recruitment portal (link) and should upload the following separate documents:

• A “curriculum vitae” including a full publication list and the names and contact details of 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.
• Statement no more than three pages addressing the selection criteria.
• Other documents, if and if requested by the selection committee.

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

Please note the successful applicant must have rights to live and work in this country before commencing the appointment.

Position Description & Selection Criteria

Canberra, ACT

Education, Childcare & Training


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