Research Fellow (B) - Industrial AI - Adelaide CBD, SA, Australia, 5000

2 x Full-time, 2-year fixed term contracts
Level B
Based at Australian Institute Machine Learning (AMIL), City East Campus
Salary Range: $114,917 - $135,932 per annum (plus 17% superannuation)

At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it's a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia's future change-makers and create a better tomorrow.

Work that matters

Be part of a landmark five-year partnership between the South Australia, Government and the Australian Institute for Machine Learning (AIML), driving the growth of Industrial AI across key areas such as natural language processing, computer vision, and machine learning. In this role, you will undertake cutting-edge research at the intersection of these fields, working to deliver high-impact publications and develop innovative AI solutions for real-world challenges.

Curious to learn more? Explore the full role description to discover more about this opportunity.

The team

Reporting to Associate Professor Xin Yu, this role sits within the Australian Institute for Machine Learning (AIML). With over 200 members, the Australian Institute for Machine Learning (AIML) is the largest university‑based machine learning research group in Australia and the country's first institute dedicated to advancing machine learning, computer vision, deep learning and artificial intelligence. Established in 2018 and based at Lot Fourteen in Adelaide, AIML is globally recognised for research excellence and real‑world impact, collaborating with leading industry and government partners to apply cutting‑edge discoveries to challenges in sectors such as defence, space, healthcare, infrastructure and agritech.

Visit the AU website to learn more about the Australian Institute for Machine Learning.

Our people

Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence.

This role is ideal for someone who thrives in a collaborative, fast-paced research environment. You will engage with leading academics, engineers, and industry stakeholders, working on diverse and impactful projects that bridge advanced research with real-world application.

Learn more about our people, what we stand for and what we offer at Careers at AU.

Experience

To join our community and thrive in this role, you will likely have the following skills and experience:

Qualifications

• PhD in Computer Science, Engineering, or related discipline
• Strong publication record in top-tier AI/ML/CV venues
• Proficiency in Python and deep learning frameworks
• Experience in machine learning, computer vision, or NLP
• Strong communication and collaboration skills

Our commitment to inclusion and diversity

We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.

Launch your future with Adelaide University now

Applying is simple. Simply click on the Apply Now button and upload:

• your current CV
• a cover letter that tells us why you're excited about the role

The online application form will list the specific selection criteria that you need to address.

Submit your application by 11:30pm Monday 20 April 2026

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

For further information about this opportunity, please contact (quoting reference number 492762):
Simone Patterson
Talent Acquisition Officer
+61 8 8*** ****|c***@***********