Research Fellow (EXPIRED)
School of Computing, Australian National University
Job category | Postdoc or similar / Fixed term |
AOS | Formal reasoning relevant for robotics |
AOS categories |
Decision Theory Philosophy of Computing Philosophy of Science |
AOC | Normative philosophy in general, philosophy of science in general |
AOC categories |
Decision Theory Philosophy of Science Applied Ethics Ethics Social and Political Philosophy Value Theory |
Workload | Full time |
Vacancies | 1 |
Organization's reference number | 540003 |
Location | Canberra, Australian Capital Territory, Australia |
Start date | When feasible |
Job description |
Job no: 540003 Classification: Academic Level B
Position overview The HMI is a major cross-disciplinary project at the ANU, uniting a team of computer scientists, philosophers, and social scientists in the pursuit of a more ethical future of machine intelligence. We share a common expertise in probabilistic decision-making, though coming from different perspectives. Such a multi-disciplinary background provides a holistic view of automated decision-making that the team, including the to be appointed Research Fellow, can leverage. The Research Fellow position will be based at the ANU’s School of Computing and collaborate closely with team members within and across discipline to make substantial progress towards ethical AI. The school is a community of high performing academic and professional staff, students and visitors sharing a deep commitment to transforming the future of computing for the next generation. It is a leading centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. The successful candidate will have completed, or nearly completed a PhD in Computer Science, Artificial Intelligence, Robotics, or disciplines relevant to the HMI project with experience in one or more of the following fields: Planning under uncertainty, motion planning under, multi-agent planning, robotics, reinforcement learning, robust control, or algorithmic game theory. Experience in applying research results from one of the mentioned areas to a physical robot is a plus. |
How to apply | |
Application type | Online |
Web address to apply | https://jobs.anu.edu.au/en/job/540003/research-fel... |
Hard deadline | May 12, 2021, 11:59pm +10:00 |
Contact | |
Web address for more information | https://jobs.anu.edu.au/en/job/540003/research-fel... |
Contact name | Hanna Kurniawati |
Contact email | |
Bookkeeping | |
Time created | April 28, 2021, 9:28pm UTC |
Scheduled expiry date | May 12, 2021, 11:59pm +10:00 |
Expired on | May 14, 2021, 12:46am +10:00 |
Last updated | July 13, 2021, 3:00pm UTC |
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