Postdoctoral Research Assistant in Decision-making under uncertainty for robots

Corehr; Oxford; On-site; GBP 38,000 - 48,000; Full time

Job summary

University of Oxford's Oxford Robotics Institute invites applications for a Postdoctoral Research Assistant to join the GOALS group in Oxford. The role centers on decision-making under uncertainty for autonomous robots, with emphasis on mission planning and sequential decision making in uncertain settings.

The successful candidate will hold a PhD or be near completion, with a track record in AI/robotics decision problems and modelling under epistemic uncertainty.

Qualifications

• PhD or near completion in AI, robotics or a related field.
• Track record in decision-making under uncertainty for robotic systems.
• Experience with modelling under uncertainty and MD/P of autonomous systems.

Responsibilities

• Conduct advanced research on decision-making for autonomous robots.
• Develop algorithms for planning under uncertainty and multi-agent scenarios.
• Collaborate with the GOALS group and publish findings.

Skills

Decision-making under uncertainty

Robotics research

AI modelling

Education

PhD or near completion

Job description

Postdoctoral Research Assistant in Decision-making under uncertainty for robots

central Oxford

Postdoctoral Research Assistant in Decision-making under uncertainty for robots

We are looking for a post-doctoral research assistant to join the GOALS group (http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow-on projects.

The successful applicant will be committed to our research on decision-making for autonomous systems. Our work focuses on mission planning under uncertainty, and sequential decision-making more generally. We tackle problems in single and multi-agent systems operating in uncertain environments and around humans. We typically work with Markov decision processes (MDPs), and are interested in both fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot interaction, safe exploration, long-term monitoring). Our recent research on algorithms has included work on epistemic uncertainty, uncertain MDPs, proactive task allocation, multi-robot coordination, offline reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search.

You should possess a relevant PhD/DPhil or be near completion together with relevant experience, including a track record of contributions in decision-making under uncertainty robotic exploration and mission planning under epistemic uncertainty. You will have knowledge or experience in modelling and solving problems under uncertainty, from either an AI, robotics, or verification perspective, and an ability to manage own academic research and associated activities.

Informal enquiries may be addressed to Nick Hawes (email: [e-mail]).

For more information about working at the Department, see

www.eng.ox.ac.uk/about/work-with-us/

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.