Postdoctoral Research Assistant in Robot Learning

//Postdoctoral Research Assistant in Robot Learning

We are seeking two full-time Postdoctoral Research Assistants in Robot Learning to join the Department of Engineering Science (Central Oxford). The post is funded by EPSRC fixed-term to 28th February 2020 (in the first instance).

You will be a key member of the Applied Artificial Intelligence Lab (A2I) at the Oxford Robotics Institute (ORI). A2I explores core challenges in AI and Machine Learning to enable robots to robustly and effectively operate in complex, real-world environments. Our research is guided by our vision to create machines which constantly improve through use in their dedicated workspace. Our research spans a diverse range of application areas.

This is an exciting time to be joining the group as we explore a number of intellectual challenges at the heart of robot learning. You will focus on the development of state of the art machine learning methods to enable robots to robustly act and interact in the real world. This will involve both theoretical and practical work in the context of machine perception, knowledge acquisition and decision making. In your remit will be addressing challenges such as machine introspection in perception and decision making, data efficient learning, learning from demonstration, transfer learning and task-based curriculum learning. You will also be involved – and may take a leading role – in extending the platform reach of A2I into the manipulation domain as a testbed for our research agenda. Expect to write software and prepare research articles and presentations.

You should possess a PhD (or be near completion) in a relevant discipline (e.g. machine learning for robotics, manipulation and/or perception, learning from demonstration, representation learning, reinforcement learning, etc.). You should also have a strong publication record in your primary field of research as well as familiarity with the existing literature and research. You should be experienced in the writing and debugging of software in Python and/or C++. A strong background in machine learning theory is desirable as well as expertise in deep learning and GPU programming.

Informal enquiries may be addressed to Prof. Ingmar Posner (email:

Further information can be found at

Only applications received before midday on Thursday 16th August 2018 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

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

To apply click here!