Adelaide University

Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 2-year fixed term with a possibility for +1-year extension 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 Advance the frontier of AI by developing multi-agent systems capable of reasoning, planning, and autonomous execution. The role requires the ability to produce high-quality peer-reviewed outputs, develop and evaluate innovative AI methods, and contribute to the supervision of research students. Strong communication and collaboration skills are essential, as is the ability to work effectively both independently and within multidisciplinary teams, engaging with academic and industry stakeholders. This role will deliver impactful research outcomes and contribute to real-world applications, including virtual satellite agent systems. The team Reporting to the Principal Investigator, this role is part of a leading AI research group specialising in reinforcement learning and intelligent systems. The team is focused on producing world-class research while collaborating with industry to translate innovation into practical solutions. Visit the AU website to learn more about the School of Computer and Information Technology. 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 dynamic, research-intensive environment. You will collaborate with academic and industry partners, contributing to innovative projects that bridge cutting-edge theory with real-world deployment. 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, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM reasoning Advanced programming and experimental research skills Experience developing, implementing, and evaluating AI methods Capability to contribute to supervision of research students 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. Please note that the role description is not attached to this advertisement as it is currently being finalised.  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 492761): Simone Patterson Talent Acquisition Adviser +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au 

Based in the College of Science, Adelaide City Campus East 2 x Part time (0.5FTE) or full time (1.0FTE) fixed term contracts available for 2 years 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 This role will directly impact the development of next-generation frequency comb technologies, applied to optical atomic clocks and other precision metrology applications. Part of the ARC Centre of Excellence in Optical Microcombs for Breakthrough Science (COMBS), the position will underpin multidisciplinary and nation-wide collaborations. The team Reporting to the Chief Investigator and Research Group Senior Manager of Adelaide University’s Precision Measurement Group (PMG), the role will lead the development of experimental capabilities in the research and construction of next-generation frequency combs, contributing to the advancement of the capabilities of the broader PMG and COMBS network. PMG is composed of world-leading physicist and engineers, developing next-generation precision metrology techniques and technologies. The College of Science expands knowledge and turns it into real-world solutions for today’s biggest challenges. From improving health and advancing new technologies to developing sustainable solutions, our teaching and research make a meaningful difference in society. Visit the AU website to learn more about the College of Science | Adelaide University. 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 suits someone who thrives in a dynamic environment with a variety of tasks to complete and enjoys working in cross-functional teams to maximize our collective achievements. You’ll engage with colleagues, students, and collaborators, receiving and delivering research contributions across teams. 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 or equivalent degree in experimental physics, electrical and electronic engineering or a related discipline. Essential: At least 2 years of postdoctoral research experience in research and development related to optical frequency combs (e.g. microcombs, free-space combs, fibre-based combs) and their applications. Experience with locking techniques to stabilise optical frequency combs. Demonstrated ability to conduct independent research in addition to working effectively as a member of a cross-disciplinary team. Experience in building, managing and delivering on cross-group, cross-institutional and interdisciplinary research projects. Experience in communicating effectively with professional and industry bodies, government, and members of the community. Experience in leading research projects that have required organisational and time management skills, including experience to follow an agreed project plan and meet realistic milestones. Commitment to the principles of equity, diversity and inclusion, and ability to contribute to the diversity of the school community. Desirable: Experience in PhD student supervision Experience in Atomic, Molecular, and Optical Physics (that is, the interaction and manipulation of atoms or molecules using light), including: spectroscopy of atomic vapours, coherent spectroscopy techniques 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, Tuesday 31 March 2026. Please note that the role description is not attached to this advertisement as it is currently being finalised. 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 492737):  Jessica Maslen Team Lead – Talent Acquisition People and Culture +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au  Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. Appointment is subject to a satisfactory National Police Check (NPC) being obtained and maintained.

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): Simone Patterson Talent Acquisition Officer +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au