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LECTURESHIP, RESEARCH FELLOWSHIP AND PHD SCHOLARSHIPS
IN EVOLUTIONARY COMPUTATION AT BIRMINGHAM
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The School of Computer Science of the University of Birmingham invites
applications for a lectureship in computer science (preferably in
evolutionary computation), a research fellowship in evolutionary
computation and PhD studentships in artificial intelligence and
related areas (including evolutionary computation).
The ads for these positions follow. For more information see:
http://www.cs.bham.ac.uk/school/jobvacancies.html
LECTURESHIP
===========
Applications are invited for a lectureship in the School of Computer
Science to contribute to research, teaching and administration of the
School.
The successful candidate should have or be about to complete a PhD in
Computer Science or a closely related field. He/she is expected to
have research experience and a record of outstanding quality in
evolutionary computation or a closely related area, as evidenced by
publications in leading international journals or conference
proceedings. The research potential of a new PhD may also be judged
from his/her PhD thesis. The successful candidate is expected to work
with members of the Evolutionary and Emergent Behaviour Intelligence
and Computation (EEBIC) group.
Although a person in evolutionary computation is preferred,
exceptional candidates from any field of computer science will be
considered.
The successful candidate must have the commitment to and ability to
achieve excellence in teaching at all levels (from undergraduate
teaching to research student supervision), including teaching subjects
that may not be in his/her research areas.
All academic staff are also expected to help with administration.
For more information see http://www.bham.ac.uk/staffing/s35237.htm
and ftp://ftp.cs.bham.ac.uk/pub/dist/info/lect.ec/
RESEARCH FELLOWSHIP
===================
Applications are invited for a research fellowship in evolutionary
computation (for up to two years) in the School of Computer Science to
work with Prof Xin Yao and other members of the Evolutionary and
Emergent Behaviour Intelligence and Computation (EEBIC) group.
Applicants should have or be about to complete a PhD in Computer
Science or a closely related field. The successful candidate is
expected to have research experience and and record of outstanding
quality in evolutionary computation or a closely related area, as
evidenced by publications in leading international journals or
conference proceedings. The research potential of a new PhD (or nearly
completed PhD) may also be judged from his/her PhD thesis. A strong
background and experience in computational studies and excellent
analytical skills will be highly valued.
The current research interests in evolutionary computation in the
School include but are not limited to co-evolution, evolutionary
optimisation, genetic programming and evolutionary artificial neural
networks. The research projects to be carried out will be discussed
between Xin Yao and the successful candidate.
Research Fellows in the School may also be required to help with some
teaching.
For more information see http://www.bham.ac.uk/staffing/s35236.htm
and ftp://ftp.cs.bham.ac.uk/pub/dist/info/rf.ec/
RESEARCH SCHOLARSHIPS FOR PHD STUDIES IN
========================================
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE
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Several internally and externally funded studentships and teaching
assistantships are available to support research towards a PhD in
Computer Science or Cognitive Science.
The School has research strengths in the areas of Theoretical Computer
Science, Artificial Intelligence and Cognitive Science, and Software
Engineering, and a flourishing research culture in which there is
frequent interaction between people working in these areas.
The Artificial Intelligence/Cognitive Science research in the School is
multidisciplinary and includes a wide range of topics including the
following:
Automated Deduction and mechanised mathematical reasoning
Analogy and case-based reasoning
Architectures for intelligent human-like agents
Computer based learning and teaching environments
Diagrammatic reasoning, and the use of diagrams in proofs
Development of theories of mind in children
Evolutionary computation and emergent behaviour
Evolutionary neural networks, and evolutionary optimisation
Forms of representation and reasoning
Image understanding and computer vision
Informal logic and the study of argumentation
Intelligent and adaptive interfaces
Knowledge representation in humans and machines
Mobile robotics - learning and evolutionary approaches
Model checking and reasoning about specifications
Motivation and emotions in intelligent agents
Natural language: from syntax to metaphor
Neural network ensembles
Philosophical foundations of computing and AI
Planning and problem solving with multiple soft constraints
Reinforcement learning
Simulative reasoning about mental states of others
Speech processing
Tools for developing simulated intelligent agents
Uncertain reasoning
Current academic and research staff involved in these activities are
Prof John Barnden, Prof Aaron Sloman, Prof Xin Yao, Dr Russell Beale, Dr
Ela Claridge, Dr Antoni Diller, Dr William Edmondson, Dr. Peter Hancox,
Mr Bob Hendley, Dr Mateja Jamnic, Dr Manfred Kerber, Dr Mark Lee, Dr
Brian Logan, Dr Donald Peterson, Dr Andy Pryke, Dr Riccardo Poli, Dr
Mark Ryan, Dr Alison Todman, Dr Andy Wood, Dr Jeremy Wyatt. Some of our
research is done in collaboration with members of other schools, e.g.
psychology.
There are about 30 PhD students in the school many of whom work in these
areas. There are also students working on MSc projects and final year
undergraduate projects in these areas.
PhD Studentships
----------------
The School has a number of EPSRC Studentships, School Studentships and
Teaching Assistantships available to UK and European Union applicants.
School Studentships and Teaching Assistantships cover tuition fees and
maintenance for UK and European Union students. EPSRC studentships do not
pay maintenance costs for non-UK students.
We also have a studentship for three or four years funded by a major
interactive entertainments company, for research on "Intelligent Agents
in 3-D Virtual Environments". For details see
ftp://ftp.cs.bham.ac.uk/pub/dist/info/studentships/
There is no closing date for applications for PhD students, but early
applications are advisable as we shall be making selections in the near
future, and competition for studentships is expected to be very strong.
Applicants must have or be about to gain at least an upper second class
honours degree, or an overseas equivalent, in Computer Science,
Artificial Intelligence, or a related area.
Further details of these studentships and also of funding available for
international students are given in:
http://www.cs.bham.ac.uk/~pjh/prospectus/funding/research.html
Applicants, especially from outside the UK, should study that document
very carefully before asking for information about available funds.
The School's research student prospectus, application form, and
instructions on how to apply are available from:
http://www.cs.bham.ac.uk/studentinfo/form_mailer.html
Informal enquiries can be directed to any member of staff. To find out
more about the research activities of these and other members of
staff in the school, and individual contact addresses, see:
http://www.cs.bham.ac.uk/system/auto-gen/staff.html
http://www.cs.bham.ac.uk/research/research.html
It is advisable for applicants to have a clear idea of the sort of
research problem to be investigated before applying, as that will help
us decide which members of staff to consider as potential supervisors.
Applicants who can write a coherent account of the problem or topic area
to be investigated and offer some ideas about how they will approach
the problem are more likely to be successful than those who merely say
they wish to work in a particular field or with a particular person.
If you have a question which is not answered in the documents cited
above, email [log in to unmask]
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