Research Associate

The University of Edinburgh - Informatics

College of Science and Engineering

The project, titled COGLE: Common Ground Learning and Explanation, is funded by DARPA as part of the Explainable Artificial Intelligence (XAI) programme. This project is in collaboration with Palo Alto Research Centre Inc. (PARC), Carnegie Mellon University, University of Michigan, Florida Institute for Human & Machine Cognition and the US Military Academy at West Point. The project aim is to develop a highly interactive sense-making system which is able to explain the learned performance capabilities of autonomous systems to human users. Towards this end, our group will focus on machine learning methods to construct decision policies for an autonomous system to perform a variety of simulated missions, as well as methods to induce representations of the models and policies at varying levels of abstraction.

The particular focus of the Research Associate (RA) on this project will be to develop (hierarchical) methods for task and motion planning, to develop methods for program induction and to connect the two in order to devise novel methods for reinforcement learning of policies that are also amenable to explanation and causal reasoning. Experiments will be carried out in domains including flight mission planning with Unmanned Aerial Vehicles (UAVs).

The post is available from 1 November 2017 for 3 years.

Informal enquiries should be directed to Dr. Subramanian Ramamoorthy (s.ramamoorthy@ed.ac.uk).

Closing Date: 27-NOV-2017 at 5pm GMT

For further particulars and to apply for this post please click on the 'apply' button below

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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