[robotics-worldwide] [jobs] Post-doc (4-years) in Egocentric Computer Vision at University of Bristol, UK. Job number ACAD101812

Walterio Mayol-Cuevas Walterio.Mayol-Cuevas at bristol.ac.uk
Thu Jan 14 04:57:20 PST 2016


Research Assistant or Associate in Egocentric Computer Vision Job number
ACAD101812

Salary Range £31,656 - £35,609 (Grade I)
                     £35,609 - £40,082 (Grade J)

Closing date for applications 15-Feb-2016

Of potential interest to those with experience in research of egocentric
robot vision/learning wanting to expand to wearable sensing.

GLANCE (GLAnceable Nuances for Contextual Events) is an EPSRC £1.1Million
4-year project, due to start in Q1 2016. The project is a collaboration
between Computer Science (Dr. Walterio Mayol-Cuevas [PI] and Dr. Dima
Damen) and Experimental Psychology (Prof. Iain Gilchrist and Dr. Casimir
Ludwig) at the University of Bristol in the UK.

The project's team has 4 Investigators, two Research Assistant/Associates
and two PhD students. And will be hosted within a larger people-base within
the Bristol Vision Institute and in close interaction with Robotics and HCI
research.

In GLANCE, we aim to develop and validate novel ways in which people can
interact with the world via cognitive visual wearables -intelligent on-body
computing systems that use visual perception to understand user, context,
and importantly, are prompt-less and useful.

This post deals with being able to mine information from long, raw and
unscripted egocentric video taken from real user-object interactions in
order to generate guidance information. This work is in close collaboration
with another post-holder that will work on how to automatically detect
user's moments of uncertainty during which support should be provided
without the user's explicit prompt.

GLANCE is underpinned by a rich program of experimental work and rigorous
validation across a variety of interaction tasks and user groups in
partnership with high-impact industry and societal partners in health care
towards assisted living and in industrial settings focusing on assembly and
maintenance tasks. We also have international partners with whom further
validation is to be developed cross-borders. Linking outcomes to robot
learning will also be of potential interest.

The project has thus great scope and is geared towards high-quality impact
publications as well as technology transfer opportunities.

You will be based at the Department of Computer Science at the University
of Bristol, with interaction with the Department of Experimental
Psychology. Further interaction will be with project partners in the UK and
overseas.

You must have a PhD or close to complete one in Computer Vision, Machine
Learning or related and ideally an interest in HCI.

This post is being offered as a full time open-ended post, funded for up to
48 months.

Please see further particulars
<https://emea3.recruitmentplatform.com/tlk/pages/fo/download_job_file.jsp?ID=Q50FK026203F3VBQBV7V77V83&nDocumentID=638121&ptId=14974>
for more details and information on how to apply
<http://www.bris.ac.uk/jobs/find/details.html?nPostingID=4075&nPostingTargetID=14974&option=28&sort=DESC&respnr=1&ID=Q50FK026203F3VBQBV7V77V83&keywords=walterio&Resultsperpage=10&lg=UK&mask=uobext>
.

It is anticipated that interviews will take place during or around early
March 2016.

Informal enquiries can be made to: Dr Walterio Mayol-Cuevas,
wmayol at cs.bris.ac.uk


Walterio Mayol-Cuevas
University of Bristol, UK
www.cs.bris.ac.uk/~wmayol


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