[robotics-worldwide] [jobs] 3 posts in deep learning for action detection in Oxford: deadline extended to May 29

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[robotics-worldwide] [jobs] 3 posts in deep learning for action detection in Oxford: deadline extended to May 29

Fabio Cuzzolin
 The Visual Artificial Intelligence Laboratory at Oxford Brookes
University, led by Professor Fabio Cuzzolin, is seeking two (2)
postdoctoral researchers (36 months) and one (1) research assistant (12
months, extendable to 24) in deep learning for action recognition and
prediction, to start as soon as possible.
The postdocs and research associate will work as part of the Horizon 2020 SARAS
project, Smart Autonomous Robotic Assistant Surgeon (
https://urldefense.proofpoint.com/v2/url?u=http-3A__saras-2Dproject.eu_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=eMzeYxW2e9rENLuDGZJfcyP9PNl_coq2mUSFVBukql4&s=vSgtRPZjJXIGjsFB9vna8FMFBQ6MQabDctIjE1pKG_U&e=), of which Prof Cuzzolin is overall Science
Officer.

The Visual Artificial Intelligence Laboratory (https://urldefense.proofpoint.com/v2/url?u=http-3A__cms.brookes.ac.uk_staf&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=eMzeYxW2e9rENLuDGZJfcyP9PNl_coq2mUSFVBukql4&s=6utHjsVq6960L3AvFJF6ACsouQzTSqW-1HCYeUVJEKY&e=
f/FabioCuzzolin/) has established itself as one of the very top research
groups in the world in deep learning for
action detection, conducting work at the current boundaries of human action
recognition.

Our work has won several awards in recent years. The team classified
2nd in both
the CVPR 2016 ActivityNet detection challenge (https://urldefense.proofpoint.com/v2/url?u=http-3A__activity-2Dnet.org_chall&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=eMzeYxW2e9rENLuDGZJfcyP9PNl_coq2mUSFVBukql4&s=qy8H8dPo15t2lmQZeWJiuyyyQt8bBin4ygjr948SxRc&e=
enges/2016/program.html#leaderboard) 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=eMzeYxW2e9rENLuDGZJfcyP9PNl_coq2mUSFVBukql4&s=qJvXwRsayL1z9EOG1WaHZT73smvnTccFlX40o3Brk2Y&e=), in collaboration with Disney
Research, and behind Deepmind’s team Kinetics. We just published two works
in this area at ICCV 2017, and are currently planning a number of PAMI and
IJCV journal papers. Former PhD students in the Lab have moved on to
postdoc positions at Oxford, Stanford and ETH Zurich.

You will join a vibrant and fast growing team projected to comprise
18-20 people
in 2018. You will be working on a network of cutting edge 4-GPU and 8-GPU
workstations. The group collaborates with various companies including Huawei,
BMW, NVIDIA, Cortexica and Sportlate, and is in the process of spinning off
a company in the area of action detection. We closely work
with Oxford Brookes’ MOReS and the Cognitive Robotics research groups, as well
as Oxford University’s Torr Vision Group and Computer Science Department,
and have established links with IIT Bombay, Harvard, Seoul National, and
numerous European partners.

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

To formally apply, please follow for the 2 PDRA positions:

https://urldefense.proofpoint.com/v2/url?u=http-3A__www.jobs.ac.uk_job_BJJ761_postdoctural-2Dresearch-2Dassis&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=eMzeYxW2e9rENLuDGZJfcyP9PNl_coq2mUSFVBukql4&s=htWkEPREijKBJmq1IzbbP-58kaURxbDpk4MDDKu3BQw&e=
tant-x2-positions/

For the RA position (12 months) please follow:

https://urldefense.proofpoint.com/v2/url?u=http-3A__www.jobs.ac.uk_job_BJJ902_research-2Dassistant-2Din-2Ddeep-2Dlearning&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=eMzeYxW2e9rENLuDGZJfcyP9PNl_coq2mUSFVBukql4&s=r7HFG9jfJtuIbeRxLUzKeD0KBb_ITYRbnAw1SzrvuLU&e=
-for-vision-in-surgical-robots/

and click on the "Apply" button at the bottom of the page.
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