Researcher position, Machine Learning for Computational Modelling of Human Attentional Processes during Driving

A researcher position is available at my laboratory to work on computational modelling of human attentional
processes and how are they affected by multimodal distractors and cognitive workload, with applications to
adaptive brain-machine interfaces for assisted driving. The applicant will preferably be at a postdoctoral level, but other candidates will also be considered.
The research will be part of a USA/UK MURI (Multidisciplinary University Research Initiative) project on “Adaptive Closed-Loop Multisensory Brain-Computer Interfaces for Enhanced Decision Accuracy”. You will be part of the Personal Robotics Laboratory at the Department of Electrical and Electronic Engineering of Imperial College in London, a vibrant multidisciplinary research group interested in perceiving, modelling and assisting humans performing complex tasks. You will be collaborating closely with researchers from USC, CSHL, Harvard, NYU, UC Berkeley, UCL and Essex, and will collect multimodal (behavioural, physiological and performance) human data whilst the human is driving simulated cars in the presence of distractors and under additional workload induced through secondary and tertiary cognitive and sensorimotor tasks. You will design and implementing machine learning algorithms to learn models of such data.
Applicants with related background and strong mathematical and computational skills are encouraged to read more about the position by following the relevant links contained here: www.iis.ee.ic.ac.uk/yiannis/
Applications should be through the college’s recruitment portal: https://www.imperial.ac.uk/job-applicants/
(search for post reference EN20170111SA).
Deadline: 23rd of May 2017.