Research Fellow

Classification: Academic Level B
Salary package: $118,632 - $134,507per annum plus 17% superannuation
Terms: Full time, Fixed Term (12 months) 

• Conduct cutting-edge research in artificial intelligence (AI), machine learning (ML), and human-centered AI for natural language.
• Design and implement interactive web applications that bring research outputs into practice and engage diverse stakeholders.
• Supervise research students and contribute to a collaborative research team.
• Pursue interdisciplinary collaborations and engage with industry and government partners.

 About the opportunity

We invite applications for a Postdoctoral Fellow position to contribute to exciting projects in artificial intelligence, machine learning, and human-centered AI. This is a 12-month fixed-term appointment within a vibrant and growing research community at ANU. The successful candidate will work on projects that span core AI research and interdisciplinary collaborations through the ANU Integrated AI Network (ai.anu.edu.au), with a strong focus on integrating human and social values into AI systems.

We are especially interested in candidates with expertise in human-centered AI for natural language and demonstrated experience in designing and implementing interactive web applications that support experimentation, evaluation, and real-world use of AI technologies.

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. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation post COVID-19.

We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective.

CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group.

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. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture.

Enquiries

To enquire about this role, please contact Professor Lexing Xie, T: +61 2 6125 1646 or E: lexing.xie@anu.edu.au. 

Our commitment to diversity, belonging, inclusion and equity

ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Engineering, Computing and Cybernetics to actively seek a gender mix of shortlisted candidates for interview. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion   

We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application. 

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  

 How to apply

Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: 

• A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. 
• A 2-page statement addressing the selection criteria. 
• (Optional) achievement relative to opportunity statement where appropriate
• Other documents, if required. 

Please note: The successful candidate will be required to undergo a background check during the recruitment process.  An offer of employment is conditional on satisfactory results.