The Evolutionary and Adaptive Systems (EASy) group at the University of
the world, working on a wide range of topics where Computer Science and Complex Systems and AI and
Artificial Life swap ideas with Biology. We have over 30 active researchers at doctoral and
postdoctoral level, plus currently over 40 Masters students.
The EASy MSc is a one year, research-oriented, course with 2 terms of coursework followed by a major
supervised project in a relevant area. The EASy group is within the new Informatics Department;
formerly we were within COGS, which was the School of Cognitive and Computing Sciences. We retain
our interdisciplinary links under the new organisation, including many links with biology. If you
are interested you can find out about us on cogs.susx.ac.ukindex.htmlOpen ↗
**Expanded funding** Due to its success over the last 6 years the UK EPSRC has now dramatically
increased the financial support for this course. The number of studentships available has
increased very significantly, these are awarded (by us) competitively: UK students tuition + in
some cases living expenses, other EU students tuition fees only. Other international applicants,
also local students not awarded studentships, are welcome on self-funding basis; a part-time
option over 2 years is also available. The expanded funding also includes new facilities and new
courses being added.
Applications (for October 2004 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 Emmet
Spier - Adaptive Behaviour Dr Jianfeng Feng - Neural Networks
include Prof John Maynard Smith (Evolutionary theory) Prof Tom Collett (Ant and bee navigational
behaviour) Prof Mick O'Shea (Neuroscience)
For further information and applications contact Linda Thompson Informatics
Brighton BN1 9QH, UK [email hidden]
cogs.susx.ac.ukindex.htmlOpen ↗
==========================================
--
Inman Harvey >> Evolutionary and Adaptive Systems Group <<
[email hidden] >> cogs.susx.ac.ukinmanhOpen ↗ <<