Research Associate in Multimodal Human-Robot Interaction

Imperial College London Department of Electrical and Electronic Engineering

Job summary

We have a short-term research opportunity within the Department of Electrical & Electronic Engineering at Imperial College London for a Research Associate (postdoctoral researcher) to work on algorithms for enabling intelligent autonomous systems to infer human cognitive states from cameras and wearable sensors. You will become a member of the Personal Robotics Laboratory (led by Professor Yiannis Demiris, Royal Academy of Engineering Chair in...

Job listing information

  • Reference ENG01680
  • Date posted 30 April 2021
  • Closing date 30 May 2021

Key information about the role

  • Location South Kensington Campus (map)
  • Position type Full time, fixed term
  • Salary £40,858 – £48,340 plus benefits
  • Department Department of Electrical and Electronic Engineering
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

We have a short-term research opportunity within the Department of Electrical & Electronic Engineering at Imperial College London for a Research Associate (postdoctoral researcher) to work on algorithms for enabling intelligent autonomous systems to infer human cognitive states from cameras and wearable sensors.

You will become a member of the Personal Robotics Laboratory (led by Professor Yiannis Demiris, Royal Academy of Engineering Chair in Emerging Technologies), an interdisciplinary team of 20 postdoctoral, PhD and MSc researchers, with significant expertise in human-robot interaction, assistive robotics, mobile robot manipulation and learning, human-centred computer vision, vehicle intelligence, machine learning and user modelling. Our research laboratory has a long tradition of ensuring that our theoretical contributions are implemented and evaluated on real robot systems, assisting people in home, hospital and commercial environments.

This Research position on Multimodal Human-Robot Interaction is a fixed term appointment to 31st of January 2022, subject to standard probation periods. The desired start date of the posts is on the 15th of July 2021 (with some degree of flexibility), and the salary will be based on your level of relevant experience. You will be working closely with research staff and doctoral students at the Personal Robotics Laboratory at Imperial, as well as with other academic and industrial partners within the allocated projects.

Duties and responsibilities

You will be designing, implementing and evaluating algorithms for equipping autonomous system with the ability to use multimodal signals (wearable sensors and diverse cameras) to infer human user cognitive states (including attention and cognitive workload). We are looking for people that are determined to see their algorithms working in real robot systems assisting people, and enjoy working in interdisciplinary research groups for advancing challenging research goals.

Your position will involve:
• Designing & implementing algorithms for processing human behavioural and physiological signals, captured by wearable sensors and cameras. This will include motion capture systems, ECG/EEG signals, eye tracking and RGB/D data.
• Integrating and evaluating your research algorithms both at the Personal Robotics Laboratory as well as in collaboration with our academic and commercial research partners in diverse applications, including shared control of physical and simulated systems with variable levels of autonomy.
• Analysing data from field trials for algorithm improvement, writing reports for submission to research sponsors, presenting findings to colleagues and at conferences, and submitting publications to refereed journals
• Assisting in the supervision of undergraduate and postgraduate research students and research assistants as required.

Essential requirements

We are looking for people with a PhD in Robotics, or closely related disciplines. Ideally you will have:
• Published excellent quality papers in two or more of these areas: robotics, human-robot interaction, machine learning, social signal processing, brain-machine interfaces, or related research topics.
• Substantial practical experience (ideally evidenced through research publications) in a broad range of technical areas including several of the following: software engineering in complex embedded systems (e.g. multi-DoF robots), machine learning, computer vision, user modelling, human signal processing, or human-computer interaction
• Knowledge of machine learning algorithms as pertaining to human-centred spatiotemporal data acquired by vision and wearable sensors (e.g. human state perception and action recognition, or human modelling).
• Advanced software engineering skills, including developing and maintaining complex software systems in C++/Python/Linux/ROS, preferably in real-time embedded systems such as robots. • Excellent verbal and written communication skills.
• Willingness to work as part of a team and to be open-minded and cooperative both internally and with external project partners.

Further information

For informal enquiries about the post please contact Professor Yiannis Demiris at y.demiris@imperial.ac.uk.

Our preferred method of application is online via our website by clicking ‘apply’ below or go to https://www.imperial.ac.uk/job-applicants/ and search using reference number ENG01680.

Queries regarding the application process should go to Joan O’Brien at j.obrien@imperial.ac.uk.