AI Europe 2016

  Partnership between AISB and AI Europe 2016: Next December 5th and 6th in London, AI Europe will bring together the European AI eco-system by gathering new tools and future technologies appearing in professional fields for th...


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AISB convention 2017

  In the run up to AISB2017 convention (http://aisb2017.cs.bath.ac.uk/index.html), I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid...


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Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


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Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


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Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


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Notice

AISB opportunities Bulletin Item

Associate Research Fellow, University of Exeter, UK


The College of Engineering, Mathematics and Physical Sciences at the University of Exeter wishes to
recruit an Associate Research Fellow to investigate ant-colony optimisation techniques in 
bioinformatics. The successful applicant will implement ant colony optimisation techniques and 
investigate their potential to explore interactions in genome-wide association studies on a variety
of case-control disease datasets.

Applicants should possess (or shortly obtain) a relevant PhD and will be able to write programs 
in a modern programming language such as Python,C++, C# or Java in addition to experience of working
with nature-inspired optimisation algorithms (e.g. evolutionary algorithms, ant colony optimisation,
particle swarm optimisation).Additional experience in bioinformatics and specifically, genome-wide 
association studies would be an advantage.

Full details of the post are available here:
https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC107GF.open?
VACANCY_ID%3d5930544Ynq&WVID=3817591jNg&LANG=USA

Please direct informal enquiries to E.C.Keedwell@ex.ac.uk

Dr Ed Keedwell


Dr Ed Keedwell
280, Harrison
Phone 01392 26(4014)
Lecturer in Computer Science
University of Exeter