AISB Convention 2015

Call for Symposium Proposals: 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 Con...


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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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Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  


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Notice

AISB opportunities Bulletin Item

Ph.D. opening in MR image analysis, SFU, Vancouver


Contact: mfbeg@ensc.sfu.ca

Ph.D. student opening in the School of Engineering/Computing Science, 
Simon Fraser University, Vancouver, Canada.

As part of a three-year Pacific Alzheimer Research Foundation grant to 
quantify structural changes in the brain in Alzheimers disease, the 
Medical Image Analysis Lab at Simon Fraser University 
(http://mial.cs.sfu.ca/) has an opening for a PhD student. This is a 
joint collaboration with Johns Hopkins University, Washington 
University, St. Louis and University of New South Wales. The project 
involves working with MR images (T1, T2, DTI) for processing a large 
database of brain images. The student will be using existing algorithms 
for Computational Anatomy, as well as developing new algorithms for 
segmentation, registration and shape statistics.

Applicants suitable for this project would need to have a good 
background and proficiency in mathematics, signal processing, C++/Matlab 
programming and good communication and organizational skills. Prior 
experience with medical image processing, segmentation, registration, 
shape modeling and familiarity with packages such as ITK/VTK will be 
valuable.

The position is open immediately. Please send a copy of your resume to 
Dr. Faisal Beg (mfbeg@ensc.sfu.ca , 
http://www.ensc.sfu.ca/~mfbeg ).