Classification: Academic Level A/B
Salary package: $85,010 - $131,227 per annum plus 17% superannuation
Terms: Full time, Fixed Term (until 30 June 2027)
About the opportunity
This position is a fixed term up until 30 June 2027 to contribute to the development of artificial intelligence systems which reliably and effectively detect anomalies in the workspace based on vision and/or natural language modalities.
The Intelligent Systems activity cluster within the School focuses on the computational modelling and design of intelligent agents in complex real-world contexts. The research integrates areas of artificial intelligence (AI), machine learning (ML) and vision, natural language understanding, and robotics, to build autonomous systems that can perceive, plan, and respond to their environment in pursuit of high-level goals.
About the College
The ANU by 2025 Strategic Plan calls for the University to serve society through transformational research and education. As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts three of the key disciplines necessary to help us design, build, regulate and secure the future.
CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College directly supports one of the four pillars of ANU by 2025: to strengthen our national mission and meet our unique responsibilities as Australia’s national university.
The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute.
To enquire about this role, please contact Associate Professor Liang Zheng, T:+61 2 6125 1613 or E: liang.zheng@anu.edu.au.
The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au
ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion
What we offer
The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources
Application Information
Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:
Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.
Apply Now
Thank you
Job referral
Know someone great for this role!
Recommended Jobs
Thank you
This website uses cookies.
We use cookies to personalise content such as job recommendations, and to analyse our traffic. You consent to our cookies if you click "I Accept". If you click on "I Do Not Accept", then we will not use cookies but you may have a deteriorated user experience. You can change your settings by clicking on the Settings link on the top right of the device