Postdoctoral Research Fellow

Job no: 517505

Work type: Fixed term - Full-time

Campus: Adelaide

Categories: Level B, Faculty of Sciences, Engineering and Technology

(Level B) $114,917 to $135,932 per annum plus an employer contribution of 17% superannuation applies.

Full-time, fixed term position for 13 months.

We are seeking a Postdoctoral Research Fellow (Level B) to join the School of Computer and Mathematical Sciences at the University of Adelaide, contributing to cutting-edge research in computer vision and machine learning for space applications.

This role focuses on advancing machine learning and computer vision research, with a strong emphasis on space-related applications, working collaboratively with academic, industry, and government stakeholders.

As a Research Fellow, you will be part of a dynamic, multi-disciplinary team developing novel deep learning approaches with real-world impact in the space domain. This is an exciting opportunity for a motivated researcher to build on a strong academic publication record, work with leading experts in the field, and contribute to nationally significant projects. The role offers both academic freedom and practical collaboration with industrial partners, making it ideal for those looking to bridge theoretical innovation with applied outcomes.

Applicants must hold (or be eligible to obtain) a Commonwealth of Australia NV1 security clearance or an equivalent clearance from Canada, the USA, the UK, or New Zealand. Proficiency in Python, MATLAB, or C++, and demonstrated experience in deep neural networks and mathematical optimisation, are essential. A commitment to equity, diversity, and inclusion is fundamental to the role, and candidates with strong communication skills and a passion for interdisciplinary collaboration will be especially valued.

To be successful you will need:

• A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field.
• Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks.
• Experience and demonstratable knowledge in computer vision and machine learning in the context of space applications. Strong math skills in mathematical optimisation and the foundational aspects of modern deep learning.
• A strong publication record in top tier machine learning and/or computer vision conferences or other relevant venues, commensurate with experience and opportunity.
• A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners
• Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience.
• To be either an Australian citizen holding or eligible to apply and maintain a Commonwealth of Australia NV1 security clearance, or a Canadian, USA, UK or NZ citizen with an equivalent security clearance from country of citizenship.
• Commitment to the principles of equity, diversity and inclusion.

The path to Adelaide University

We are on an exciting path to Adelaide University as we prepare to open our doors in January 2026. Adelaide University will combine the strengths of the University of Adelaide and the University of South Australia, and we are dedicated to creating an accessible and future-focused educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process.

Enjoy an outstanding career environment

We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - 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.

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:

Your faculty's broader role

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:

If you have the talent, we'll give you the opportunity. Together, let's make history.

Click on the '' 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, Wednesday, 22nd of October.

To be eligible to apply for this position, you must be an Adelaide University, University of Adelaide or UniSA current employee at the time the position is advertised.

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

For further information

For a confidential discussion regarding this position, contact:

Tat-Jun Chin

SmartSat CRC Professorial Chair

tat-

You'll find a full position description below: (If no links appear, try viewing on another device)

We are 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

Advertised: 15 Oct :00 AM

Applications close:22 Oct :55 PM