Postdoc Position in Closed-loop Brain-computer Interfaces

Imperial College London is delighted to offer a postdoctoral fellowship position in computer science. Applications are welcome before February 22, 2019.

An opportunity has arisen within the Department of Electrical & Electronic Engineering at Imperial College London for a Research Associate to investigate Closed-Loop Brain-Computer Interfaces for Enhancing Decision Accuracy. The post is funded by EPSRC as part of a USA-UK MURI (Multidisciplinary University Research Initiative in collaboration with USC, UC Berkeley, CSHL, Harvard, and NYU in the USA and U Essex and UCL in the UK).

The successful applicant will become a member of the Personal Robotics Laboratory (led by Professor Yiannis Demiris) comprised of a team of 20 postdoctoral, PhD and MSc researchers with significant expertise in human-robot interaction, human-centred computer vision, assistive robotics, vehicle intelligence, machine learning and user modelling - You will identify and develop suitable computational techniques for the collection and analysis of human physiological and behavioural data; including eye tracking data, head and body kinematics, heart rate, respiration, and user actions and corresponding performance data in the driving scenario.

- You will analyse data to ensure the validity and reliability of data at all times. - You will develop and apply machine-learning algorithms on the collected data to characterise user performance and infer underlying human states; including attentional workload, and stress, and human intentions. - You will develop intelligent algorithms for deciding how multimodal information should be presented to the user to mitigate the effects of attentional workload; and validate the approach with multiple experiments using driving simulators and virtual/augmented reality setups. - To be appointed as a Research Associate, you will hold a PhD (or equivalent) in Computer Science, Electrical Engineering or Mathematics or a closely related discipline, or equivalent research, industrial or commercial experience.

- To be appointed as a Research Assistant*, you will be near completion of a PhD (or equivalent) in Computer Science, Electrical Engineering or Mathematics or a closely related discipline, or equivalent research, industrial or commercial experience - You will have practical experience within a research environment and / or publication in relevant and refereed journals. - You will have knowledge of Programming Languages (C++/C#, Python or equivalent) and a strong interest in designing, implementing and evaluating computer vision systems for the automated analysis of video feeds. - You will have excellent verbal and written communication skills, and be able to write clearly and succinctly. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range 33,380 – 35,061 per annum. For informal enquiries about the post please contact Professor Yiannis Demiris at

Our preferred method of application is online via our website. Please click 'apply' below or go to Please search using reference number ENG00718. and complete an application form as directed. Further information is also available on the job description. Please direct queries regarding the application process to Ms Joan O'Brien at Closing Date: 22 February 2019 (midnight GMT)
Deadline: February 22, 2019
Apply Link:

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