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AISB opportunities Bulletin Item

Evolutionary and Adaptive Systems (EASy) MSc at Sussex

Evolutionary and Adaptive Systems (EASy) MSc at Sussex

The Evolutionary and Adaptive Systems (EASy) group at the University
of Sussex is probably the largest such multidisciplinary research
group in the world, working on a wide range of topics where Computer
Science and Complex Systems and AI and Artificial Life swap ideas with
Biology. Our faculty has expanded this year, we have over 40 active
researchers at doctoral and postdoctoral level, plus a significant
number of Masters students. Our research group has been going some 17
years, the MSc since 1996. It is a research-oriented MSc, and there
are now over 100 ex-EASy MSc students who have completed doctorates or
are now researching for them around the world.

The EASy MSc is a one year course with 2 terms of coursework followed
by a major supervised research project in a relevant area. The EASy
group is within the Informatics Department, with strong links to the
School of Life Sciences.

Applicants (for October 2009 entry) need to provide evidence of
sufficient programming experience to start programming for projects
within the first term; either Analytic or Maths or Scientific
experience/expertise, so as to be able to think analytically in
complex areas; and cogent reasons for wanting to do a
research-oriented MSc in this area. These applications are also used
to decide allocation of studentships.

Faculty currently directly involved in the course include

Dr Inman Harvey - Artificial evolution, evolutionary robotics, artificial life
Prof Phil Husbands - Evolutionary computation, GasNets for robotics
Dr Ezequiel Di Paolo - Social behaviour, homeostasis, autopoiesis
Dr Adrian Thompson - Evolvable hardware, evolutionary electronics
Dr David Young - Computer Vision
Dr Anil Seth - Neuroscience, neural modelling
Dr Andy Philippides - Visual navigation, modelling of neurotransmitters
Dr Luc Berthouze - Development, motor skills acquisition in humans/robots

Other faculty here at Sussex in associated areas in the School of Life
Sciences include

Prof Tom Collett (Ant and bee navigational behaviour)
Prof Mick O'Shea (Neuroscience)
Dr Joel Peck (Evolutionary Theory)
Prof David Waxman (Evolutionary Theory)
Prof Daniel Osorio (Animal Vision)

For further admin information and applications contact
Postgraduate Admissions, Informatics
University of Sussex, Brighton BN1 9QH, UK

Ezequiel Di Paolo
Editor-in-Chief, Adaptive Behavior
Centre for Computational Neuroscience and Robotics
University of Sussex