* Based at Australian Institute Machine Learning (AMIL), City East Campus
* Full-time, fixed term contract 3 years
* Salary Range: $102,024 - $109,307 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
Join a funded research project at the forefront of Large Vision‐Language Models (LVLMs), developing innovative evaluation tools and training methods to enhance complex reasoning, decision‐making, and adaptability in next‐generation AI systems. Your work will address critical limitations in current AI approaches and contribute to impactful, real‐world solutions across sectors such as healthcare, business, and education, while strengthening Australia's leadership in AI.
Curious to learn more? Explore the position description/selection criteria above to discover more about this opportunity.
The team
Reporting to Associate Professor Qi Wu, this role sits within the Australian Institute for Machine Learning (AIML). You will work alongside experts in machine learning, computer vision, and natural language processing, contributing to cutting‐edge research and partnering with academic and industry stakeholders to deliver innovative, high‐impact outcomes.
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 fast‐paced, research‐intensive environment. You will engage with a diverse network of collaborators across disciplines, contributing to innovative projects that push the boundaries of AI while maintaining strong connections to practical applications.
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:
* PhD in machine learning, AI, computer science or related field
* Programming experience in Python, C++ or other relevant language and experience in deep neural networks (Pytorch, tensorflow).
* Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural networks and/or probabilistic graphical models; computer vision; Large Language Models.
* A good publication record in top tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity.
* A strong work ethic, and the ability to work well independently, and as a member of a broader team
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 Thursday 23 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 492783): Talent Acquisition Officer +61 8 8302 1700| #J-18808-Ljbffr