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...


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...


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...


AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


Lighthill Debates

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



AISB opportunities Bulletin Item

Pre- or Post-Doctoral position in Image Registration and Data Assimilation @ CILAB, Barcelona


Computational Imaging Lab  Pompeu Fabra University, Barcelona, Spain

The Computational Imaging Lab ( at the Universitat
Pompeu Fabra
in Barcelona is a team focused on algorithmic and applied research in
the area of
computer vision and computational modeling. The lab is composed of 25 members
working in different domains of medical image segmentation,
statistical shape modelling
and analysis, computational geometry, pattern recognition and image-based and
personalized computational mechanics.

Currently, the lab is engaged in several exciting projects aiming at
imaging for personalizing physical modeling and simulation of organs
where medical
imaging, computational mechanics and biology play an essential role.
Our aim is to use
medical imaging technologies with a combination of computational
imaging, pattern
classification, modeling and simulation tools to develop tools for
risk assessment and
personalized treatment design.

In addition, by collaborating with several teams around Europe and the
US, our goal is to
integrate all available information of a patient to personalize
diagnosis and treatment. In
this context, the lab coordinates an Integrated Project funded by the European
Commission ( as well as a Strategic National Consortium for
Technological Innovation (, which aims at personalized
and integrative
biomedical informatics in the cardiovascular system.

Job Description

The CILab is seeking proactive and highly talented young pre- or post-doctoral
researchers with proven track record of scientific motivation and
output. Candidates
should be highly creative, have the ability to carry out independent
research but work
embedded in a research team, and should be endowed with excellent communication
skills so as to collaborate with other peers. The ability to work in a
multidisciplinary team
and be able to interact with other disciplines is essential.
Attitude and characteristics of the candidate
All applicants should have a strong background in mathematics and
physics, algorithmics
and programming [ITK/VTK background and C++ abilities would be appreciated].
Proficiency in spoken and written English is compulsory.

Candidates with expertise or interest to focus in the following areas
of computational
imaging are sought: elastic multimodal image registration, populational atlas
construction, matching of high-dimensional images, diffeormorphic
registration, 3D-2D
image registration, 3D vision and reconstruction from projections,
geometry, and information theoretic approaches to computer vision.

Starting dates will be prior to January 2008; positions will be for a
period of 3 to 4 years.
Interested candidates should submit a letter of purpose indicating
your area of interest,
CV including contact details of 3 referees, and, when available,
sample publications to with reference number CILAB/MDC100 at your earliest