Research Fellow in AI Planning: The ANU College of Engineering, Computing and Cybernetics (CECC) at the Australian National University (ANU) is seeking a Research Fellow in AI Planning and Machine Learning. This fixed-term position is part of the project “AI Planning: The Next Generation,” led by Sylvie Thiebaux and funded by the Australian Research Council. The successful candidate will conduct cutting-edge research in AI planning and machine learning, contributing to the development of trustworthy AI planning systems. Join a top research university in Australia, work on AI planning and machine learning, and enjoy the quality of life in Canberra.
Designation: Research Fellow
Research Area: AI Planning and Machine Learning
Location: Canberra / ACT, ACT, Australia, 2601
Eligibility/Qualification:
- Academic Level B classification
- Strong track record in planning or machine learning research
- Experience at the interface between planning and machine learning or in neuro-symbolic AI (a plus)
- Ability to contribute to theoretical, algorithmic, and experimental aspects of the research project
- Prior experience in supervision of research students, including PhD students
- Collaborative and cross-disciplinary research experience
- Alignment with the strategic agendas of the College, School, and activity cluster
Job Description:
- Conduct research on the project “AI Planning: The Next Generation”
- Contribute to the development of trustworthy AI planning systems integrating reasoning and learning
- Learn rich relational planning models from a wide range of data
- Develop scalable methods to represent, learn, and synthesize generalised policies and heuristic cost estimators
- Engage in theoretical, algorithmic, and experimental aspects of the project
- Collaborate with colleagues working in planning, machine learning, computer vision, knowledge representation, and other areas of AI
- Deliver research outcomes and participate in the supervision of research students, including PhD students
- Explore opportunities for high-impact collaborative and cross-disciplinary research
- Contribute to the College’s strategic agendas in teaching, research, and broader engagement
How to Apply: Applicants must apply online via the ANU recruitment portal and upload the following separate documents:
- Detailed curriculum vitae (CV) with a full publication list and the names and contact details of at least three referees (including a current or previous supervisor)
- 2-page statement outlining research objectives for the next 3 years if appointed
- 1-2 page statement outlining approach to coursework education and student project supervision
Last Date for Apply: August 1, 2023
For further inquiries about the role, please contact Prof. Sylvie Thiebaux via email at Sylvie.Thiebaux@anu.edu.au.
ANU is committed to diversity, inclusion, and equity, and encourages applications from individuals of diverse backgrounds. Flexible work arrangements and support programs are available.
What we offer:
- Attractive benefits and excellent work/life balance
- Generous remuneration package, including vacation leave, relocation assistance, and superannuation contribution
- Parental leave, flexible working arrangements, dual career hire programs, tuition fee discounts, and childcare facilities
- Support for non-traditional career paths and applicants with diverse experiences
Please note: A background check is required during the recruitment process, and employment is conditional upon satisfactory results.
About ANU and CECC: The Australian National University (ANU) is one of the world’s great universities, committed to transformational research and education. The ANU College of Engineering, Computing and Cybernetics (CECC) hosts the School of Computing, School of Cybernetics, and School
