Connectionists: PhD Studentships on Information Processing and Self-Organization in Adaptive Systems
Daniel Polani
d.polani at herts.ac.uk
Mon May 13 11:05:45 EDT 2013
<Apologies for crossposting>
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PhD Studentships Available on
INFORMATION PROCESSING AND SELF-ORGANIZATION
IN ADAPTIVE BIOLOGICAL AND ARTIFICIAL SYSTEMS
Adaptive Systems Research Group
School of Computer Science
University of Hertfordshire, UK
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PhD studentships are available in the Adaptive Systems Research Group
at the University of Hertfordshire in the topics of Artificial Life,
especially for the study of principles behind information processing
in adaptive, complex and self-organizing systems and the emergence and
growth of complexity, a research area which has witnessed a dramatic
increase of interest in the last years.
We use mathematical methods, with particular emphasis on an arsenal of
recently developed techniques based on Shannon's information theory,
to describe, understand or construct such systems in the context of
AI/robotics and biology. Questions of interest and possible research
directions include, but are not limited to:
- information-theoretic approaches towards a mathematically founded
understanding of information processing and the perception-action
loop in agents; fundamental quantitative constraints governing the
interaction between an agent and its environment
- theoretically grounded pathways towards a systematic way to
generate self-organization in complex systems and autonomous
increase in complexity
- biologically plausible methods based on information theory for
creating Artificial Intelligence systems from first principles
- fundamental principles underlying biological (e.g. neural)
computation (with opportunities to collaborate with the
Biocomputation Research Group)
The prospective candidates should have a keen interest in contributing
to a new and highly dynamic research area and a strong background in
Computer Science, Physics, Mathematics, Statistics or another relevant
computational discipline. In particular, they should demonstrate
excellent programming skills in one or more major computer languages.
A mathematical/numerical background would be desirable, ideally
including probability theory and data modelling/neural network
techniques.
The envisaged research will take place in the vibrant and enthusiastic
research environment of the Adaptive Systems Research Group in the
School of Computer Science at the University of Hertfordshire which
offers a large number of specialized and interdisciplinary seminars as
well as general training opportunities. Research in Computer Science
at the University of Hertfordshire has been recognized as excellent by
the latest Research Assessment Exercise, with 55% of the research
submitted being rated as world leading or internationally excellent.
The University of Hertfordshire is located in Hatfield, Hertfordshire
UK which is considered the "northern green belt" of London. Hatfield
is close to London (less than 25 minutes by train to Kings Cross), has
convenient access to Stansted, Luton and Heathrow airports and is not
far from the historic town of St. Albans.
Successful candidates are eligible for a research studentship award
from the University (which includes approximately GBP 13,600 per annum
bursary and the payment of the standard UK/EU student fees).
Applicants from outside the UK or EU are eligible, but will have to
pay half of the overseas fees out of their bursary. Information about
the current tuition fees can be found at
http://www.herts.ac.uk/courses/fees-and-funding/postgraduate/home.cfm
Contact for informal inquiries on the research topic: Dr. Daniel
Polani (E-mail: d.polani at herts.ac.uk)
Application forms are available from
http://homepages.stca.herts.ac.uk/~comqvs/ApplicationFormUHStudentship.doc
and should be returned to
Mrs Lorraine Nicholls,
Research Student Administrator, STRI
University of Hertfordshire
College Lane
Hatfield AL10 9AB Hertfordshire
UK
Tel: 01707 286083
Email: l.nicholls at herts.ac.uk.
Applications should also include two references and transcripts of
previous academic degrees. The shortlisting process will begin on 7.
June 2013.
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