Research Associate (or Assistant)
We are seeking a full-time Research Associate/Research Assistant in AI and Robotics to join the Human-AI Teaming (HAT) lab at King’s College London, in the Department of Informatics. The post is for up to 36 months, starting from September 1st 2019 or soon thereafter.
The HAT lab, led by Daniele Magazzeni, focuses on new research and challenges around Explainable and Safe AI, where humans can work together with the AI systems in what is called Human-AI Teaming, and they can trust what the AI is about to do. We focus on AI Planning and Machine/Reinforcement Learning, and the main application area is the control of robotics and autonomous systems, where AI is used to control (teams of) moving robots as well as to provide robots with more autonomy (for example in manufacturing, space robotics, or satellites).
In this context, it is estimated that the average ratio of humans supervising robots working autonomously is 5:1. It is now time to reverse the ratio, to have 1 human supervising (at least) 5 robots. And this is the vision of the HAT lab.
The lab currently includes 5 PhD students and 3 PostDocs (https://nms.kcl.ac.uk/daniele.magazzeni/team.html).
We are looking for a candidate who can drive our research agenda. You will be responsible for adapting existing as well as developing new techniques, and will be driving its applications in scenarios involving physical robots in our lab. You will also be involved in co-directing the research of PhD students and to engage with collaborators and industrial partners.
King’s College London is one of the best places where this type of research can be done, also thanks to the recently funded Centre for Doctoral Training in Safe and Trusted AI (https://www.kcl.ac.uk/nms/depts/informatics/stai), that aims to make King’s one of the leading institutions for the research in this space.
The candidate is expected to have a PhD (or be near completion) in AI or Robotics, together with a strong track record. Expertise on Explainable AI, AI Planning, ROS, Machine Learning, Reinforcement Learning would be a plus.
This post will be offered on a fixed term contract for 36 months.
This is a full time post.
The selection process will include a panel interview and an assessment.
For an informal discussion about the role, please contact Dr Daniele Magazzeni (firstname.lastname@example.org)
Closing date: 30 June 2019
To apply, please register with the King’s College London application portal and complete your application online.
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