Postdoctoral Research Fellow (A)- Computer Vision Applications

Updated: 6 months ago
Location: Adelaide, SOUTH AUSTRALIA
Job Type: FullTime
Deadline: 25 Sep 2023

Job no:512663
Work type:Fixed term - Full-time
Campus:Adelaide
Categories:Level A, Faculty of Sciences, Engineering and Technology


Level A $75,888 - $102,040 per annum plus an employer contribution of 17% superannuation applies.

A fixed-term position is available with a contract length of 14 months. Flexible work arrangements can be negotiated with the right candidate.

Be part of the Australian Institute for Machine Learning, the largest computer vision and machine learning research group in Australia.

This Postdoctoral Research Fellow position will work on both theoretical and practical applications of classical image processing as well as computer vision using state of the art machine learning methods and tools. The fellow will be supervised by Professor Tat-Jun Chin, SmartSat CRC Professorial Chair and Defence Space Technologies lead for the Defence Trailblazer: Concept to Sovereign Capability. The role is comprised of two projects which will utilise complementary skills and domain knowledge.

The ARC Discovery Project, New paradigms of kernelisation and polyhedral search, is developing new robust algorithms to mitigate the shortcomings of unreliability (due to randomisation) and computational cost (due to exhaustive search). The research fellow will investigate two new paradigms of kernelisation and polyhedral search, which can offer theoretical insights into the problem. The outcomes will contribute towards computer vision applications that are both more practical and more reliable.

The other project work falls within an industry partnership with an international space start-up. The industry partner operates in the space situational awareness market and is active in the detection of artificial satellites and space debris, their tracking, cataloguing, and collision risk prediction. The research fellow will develop further knowledge in the utilisation of streak detection and automatic orbit determination from streaks with machine learning algorithms.

The tasks of the Postdoctoral Research Fellow will include:

  •  Adapting algorithms to optical parameters and image sensor parameters, for example.
  •  Scaling up the algorithm for processing large-scale data.
  •  Tuning of the hyperparameters for specific operation regimes.

Outputs will include:

  •  Develop robust algorithms and novel methods, either by synthesis of existing models or by constructing a model that is specifically adapted to the projects.

This exciting role will contribute to the Australian Institute for Machine Learning’s objectives to be global leaders drivingresearch excellence, industry translation, and the training of future leaders in machine learning, artificial intelligence, and computer vision.

To be successful you will need:

  • A completed or nearly completed PhD in computer science or a closely related discipline.
  • Completion of at least four (4) years of tertiary study in a science or engineering discipline, or equivalent qualifications or research experience.
  • Experience and demonstrable knowledge in computer vision or in related computer science topics.
  • Programming experience and expertise in Python or languages such as Linux OS, C++, .NET, and Java, and one or more relevant deep learning libraries and ML platforms such as PyTorch or Tensorflow, Scikit learn, or CARET
  • Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience.
  • Ability to work both independently and as part of a team in a professional and collegial manner, and to build rapport with all levels of academic and professional staff within a diverse and inclusive work environment
  • A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners.
  • It is desirable that you have:

  • A track record of publications in top-tier machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals, commensurate with experience and opportunity.
  • Enjoy an outstanding career environment

    AIML is Australia’s leading research institute in machine learning and artificial intelligence. AIML’s computer vision research is among the best in the world. With world-leading researchers, modern facilities and an innovative culture, we’re committed to delivering research that is highly valued by our local and global communities. Located at Lot Fourteen, Adelaide, AIML is the largest computer vision and machine learning group in Australia with more than 170 members including academics, research staff, and students. The institute works on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning. Find out more at www.adelaide.edu.au/aiml

    The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

    It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

    Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

    We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

    In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

    Learn more at: adelaide.edu.au/jobs

    Your faculty's broader role

    As a member of Australia’s G08, the University of Adelaide is recognised as one of the nation’s most respected research-intensive universities, challenging and inspiring graduates to make a real difference. The Faculty of Science, Engineering and Technology (SET) holds an outstanding reputation for teaching, research, and quality graduates. Comprised of eight schools, 21 centres and five institutes, the Faculty of SET is responsible for teaching over 8,500 students across our three campuses, North Terrace, Waite and Roseworthy, and has an annual budget of $300 million. The faculty is a significant contributor to the University’s research reputation, earning annual research revenue above $120 million. Many of our research areas have achieved a world-class research rating of 5 in the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences, Agriculture, Food and Wine and Animal and Veterinary Science. The Faculty of SET is an innovative and agile working environment that champions excellence, diversity and inclusion in our teaching, research, and global engagement leadership.

    Learn more at: set.adelaide.edu.au

    How to Apply

    Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

    ****Applications close 11:55pm (South Australia time), Monday 25th September***

    For further information

    For a confidential discussion regarding this position, contact:

    Prof Tat-Jun Chin

    SmartSat CRC Professorial Chair
    E: [email protected]

    ***The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified***

    The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application. 

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    Download the Position Description Apply now



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