[robotics-worldwide] [jobs] KTP associate position @ Visual AI Laboratory

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[robotics-worldwide] [jobs] KTP associate position @ Visual AI Laboratory

Fabio Cuzzolin
 The Visual Artificial Intelligence Laboratory at Oxford Brookes
University, led by Professor Fabio Cuzzolin, in collaboration with Createc
Technologies LTD, Oxford, are seeking a Knowledge Transfer Partnership
(KTP) Associate in deep learning for person and crowd activity monitoring
to be appointed as soon as possible.

This is a fixed-term, full time post for 24 months. The deadline for
application is December 2, 2018.

Salary: £30-36,000 per annum plus personal development budget of £2k per
annum.

You will work on a cutting-edge new project, partly funded by Innovate UK,
aimed at developing and testing novel person and action recognition
techniques, based on a combination of multiple sensor streams, eventually
developing into a system able to monitoring the behaviour of groups of
individuals or crowds. You will have research experience in machine
learning for computer vision; a good publication record in these areas, as
well as relevant coding experience.

The Visual Artificial Intelligence Laboratory (
https://urldefense.proofpoint.com/v2/url?u=http-3A__cms.brookes.ac.uk_staff_FabioCuzzolin_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=GHyWAhd9bG6t7KfhB6-DcJJ7snpo0T_zTE5v_l_BtZA&s=W9DTXBGUa3XmEEXPoWX3lViYLmXKN93ypzne1AqBnOc&e=) is one of the top research
groups in deep learning for action detection, conducting work at the
current boundaries of human action recognition. Our algorithms consistently
compete for the best detection accuracies, and the team recently designed
the first system so far able to localise multiple actions in (better than)
real time. The team classified 2nd in both the CVPR 2016 ActivityNet
detection challenge (
https://urldefense.proofpoint.com/v2/url?u=http-3A__activity-2Dnet.org_challenges_2016_program.html-23leaderboard&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=GHyWAhd9bG6t7KfhB6-DcJJ7snpo0T_zTE5v_l_BtZA&s=sa4JiavmzSNfatUIGo3MTw05dyXrqQHs93TaUP7aEw8&e=) and the
CVPR 2017 Charades challenge (https://urldefense.proofpoint.com/v2/url?u=http-3A__vuchallenge.org_charades.html&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=GHyWAhd9bG6t7KfhB6-DcJJ7snpo0T_zTE5v_l_BtZA&s=Po5qbEtCXIA9-Ax-yGVm_MA3l0T75155Ig0zLTHsEU8&e=), in
collaboration with Disney Research. Former PhD students in the Lab have
moved on to postdoc positions at Oxford, Stanford and ETH Zurich.

In this role you will be supervised by Professor Cuzzolin but will be based
at Createc Technologies.

Createc was founded by Oxford academics who wanted to see their research
changing the world for the better. We are a self-funded industrial R&D
group, with a global track record of successful applications of Computer
Vision and robotics to solve challenging problems. Find out more at
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.createc.co.uk_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=GHyWAhd9bG6t7KfhB6-DcJJ7snpo0T_zTE5v_l_BtZA&s=VV_O6x8s9GbYiKY1sa6UD2zgqr4ovt7i3QhdGC1RTR8&e=

You are encouraged to contact Prof Cuzzolin at [hidden email]
or Ian Cowling at [hidden email] for more information and an
informal feedback on your application.

To formally apply, please follow the instructions provided here:

https://urldefense.proofpoint.com/v2/url?u=https-3A__www.jobs.ac.uk_job_BNU501_ktp-2Dassociate-2Din-2Ddeep-2Dlearning-2Dfor-2Dperson-2Dand-2Dcrowd-2Dactivity-2Dmonitoring&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=GHyWAhd9bG6t7KfhB6-DcJJ7snpo0T_zTE5v_l_BtZA&s=j1YON8SE8HzJxj6P4qmypmmBXIIXzrYgEs3tYWZO1p0&e=
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