Postdoctoral Research Fellow

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

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

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 driving** **research 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**

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 millio