Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


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AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB opportunities Bulletin Item

4 Postdoc and PhD positions available in Multi-Camera Video Analysis - Queen Mary, University of London

http://www.dcs.qmul.ac.uk/staff/recruit/

4 x Postdoctoral and PhD Positions in Multi-Camera Video Analysis
Queen Mary Vision Laboratory, Queen Mary University of London, UK

Applications are invited for four research positions (2 postdoctoral 
research assistants and 2 PhD studentships) to develop people tracking, 
consistent labelling, action categorisation and behaviour monitoring 
across a distributed network of CCTV and embedded smart cameras for 
global situational awareness in a wide area. This work is part of a UK 
EPSRC and MOD DSTL funded project BEWARE 
(http://www.dcs.qmul.ac.uk/~sgg/BEWARE/) in which Queen Mary will be 
collaborating with a number of government and industrial partners 
including MOD DSTL / SASD, Home Office HOSDB, Ultra Electronics, 
SmartCCTV, Tyco Fire and Integrated Solutions, and Liverpool City Watch.

Successful candidates will be based at the Queen Mary Vision Laboratory 
working with Prof Shaogang Gong and Dr Tao Xiang in the Department of 
Computer Science, Queen Mary University of London. Queen Mary Vision 
Laboratory (http://www.dcs.qmul.ac.uk/research/vision/) currently 
undertakes research on video behaviour analysis and abnormality 
detection, people detection and tracking in crowded scenes, video object 
super-resolution for face recognition, human facial expression and body 
language modelling , video-audio avatar, dynamic scene background 
removal, and object categorisation.

The two postdoctoral positions are for 3 years starting as soon as 
possible. Candidates should have a PhD in computer vision or machine 
learning (or at least have submitted yours thesis and is waiting for the 
viva). Salary is in the range of 27003-31739 per annum inclusive, 
depending on qualifications and experience. The two PhD studentships are 
open to nationals of both UK/EU and non-EU countries and will pay a 
stipend of approximately 14,600 per annum plus fees.

Further information and application form at 
http://www.dcs.qmul.ac.uk/staff/recruit/. Informal enquires to Prof 
Shaogang Gong (sgg@dcs.qmul.ac.uk) and Dr Tao Xiang 
(txiang@dcs.qmul.ac.uk).

To apply, applicants should be sent electronically Sue White 
(suew@dcs.qmul.ac.uk) and Shaogang Gong (sgg@dcs.qmul.ac.uk) a completed 
application form with a CV that lists all publications. Please also 
arrange the following to be sent directly via email to Shaogang Gong: 
three independent references, electronic copies of your representative 
publications and a research statement describing your previous research 
experience and outlining their relevance to this project. Closing date: 
Monday 12 March 2007.