January 31, 2007, 6:43 am
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 project in a relevant area. The EASy group is
within the Informatics Department, with strong links to the School of
Life Sciences.
We have some funding from the EPSRC to award studentships on a
competitive basis to the best UK/EU applicants: UK-resident students
tuition or tuition+living expenses, other EU students tuition fees
only. Other international applicants, likewise local students not
awarded studentships, are welcome on self-funding basis; a part-time
option over 2 years is also available.
Applications (for October 2007 start) 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 - evolving collective 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)
Dr Daniel Osorio (Animal Vision)
For further admin information and applications contact
Postgraduate Admissions, Informatics
University of Sussex, Brighton BN1 9QH, UK
pgadmissions@informatics.susx.ac.uk
http://www.informatics.sussex.ac.uk/easy/MSc/
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 project in a relevant area. The EASy group is
within the Informatics Department, with strong links to the School of
Life Sciences.
We have some funding from the EPSRC to award studentships on a
competitive basis to the best UK/EU applicants: UK-resident students
tuition or tuition+living expenses, other EU students tuition fees
only. Other international applicants, likewise local students not
awarded studentships, are welcome on self-funding basis; a part-time
option over 2 years is also available.
Applications (for October 2007 start) 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 - evolving collective 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)
Dr Daniel Osorio (Animal Vision)
For further admin information and applications contact
Postgraduate Admissions, Informatics
University of Sussex, Brighton BN1 9QH, UK
pgadmissions@informatics.susx.ac.uk
http://www.informatics.sussex.ac.uk/easy/MSc/
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