[alife] Evolutionary and Adaptive Systems (EASy) MSc at Sussex

[ezequiel]

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.

http://www.informatics.sussex.ac.uk/easy/MSc/

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 - 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
pgadmissions at informatics.susx.ac.uk
http://www.informatics.sussex.ac.uk/easy/MSc/


Ezequiel Di Paolo

Editor-in-Chief, Adaptive Behavior
http://adb.sagepub.com/

Centre for Computational Neuroscience and Robotics
University of Sussex

ezequiel at sussex.ac.uk
editor at adaptive-behavior.org