UK: PhD and Post Doc Scholarships in Bioinformatics

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School of Computer Science & Information Technology
Automated Scheduling, Optimisation & Planning Research Group The
Institute of Infection and Immunology

Closing date: 1 June 2007.

With funding from the Engineering and Physical Sciences Research
Council (EPSRC) the project "(Semi)Formal Artificial Life Through P-
systems & Learning Classifier Systems: An Investigation into
InfoBiotics", invites for applications from interested candidates
at both the postdoctoral and doctoral training level.

This project seeks a fundamental rethink on the way bottom-up
Artificial Life research is conducted. The project proposes a new
(semi) formal cellular Artificial Life methodology, called
InfoBiotics. InfoBiotics proposes that a synergy between formal
informatics methods, evolution and learning and biological and
biochemical insights are a pre-requisite for a more principled
practice of ALife research. The driving research issues behind this
proposal are: (1) what combinations of formal informatics,
evolutionary and learning paradigms and biochemical insights are
needed for a successful development of InfoBiotics as a principled
approach to Artificial Cellular Life research? (2) What is the
balance of each of the former that is needed in order to ask and, be
able to, answer scientifically relevant and meaningful ALife
questions from an InfoBiotics perspective? This project will operate
at the interface of biology as it could be, i.e. artificial life,
and biology as it is, i.e. Systems Biology.

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This high profile multidisciplinary project involves close
collaborations with colleagues in computer sciences and biology
departments at the Universities of Sheffield – UK, Universita degli
Study di Milano Biccoca -Italy, Reed College – USA, University of
Würzburg – Germany, Tel-Aviv University and Hebrew University –
Israel and The European Centre for Living Technology – Italy. The
successful candidates will be expected to travel frequently both
within the UK and abroad to collaborate with our research partners.

Applicants must have an interest in the development of novel
computational foundations for the study, design, specification,
optimisation and data mining of Artificial Life Systems with a
potential for applications to the systems biology arena. An
essential attribute is a strong interest in working on an
interdisciplinary field where gaining knowledge of new areas and
techniques is a constant requirement.

PhD candidates should have at least an upper second-class honours
degree (ideally a first class degree), or a combination of
qualifications and/or experience equivalent to that level. Ideally,
students should have a BSc or MSc degree in computer science or
biology (but candidates with a mathematical, physical, or chemical
background are also encouraged to apply).

This studentship provides home tuition fees (UK/EU students) and a
tax-free stipend of around £12,000 per annum. Students from outside
the UK/EU with full or partial complementary funding from another
source are also welcome to apply. This studentship is available
from 1 September 2007.

PostDoctoral candidates should have a Ph.D. in computer sciences,
biology, mathematics, physics or chemistry. If the Ph.D. is not in
computer science then proven programming skills are a required
condition. Relevant experience in Artificial Life, Machine Learning,
Artificial Intelligence, P-systems (or other formal modeling
techniques such as Pi-calculus, PRISM for systems biology, etc)
and /or Bioinformatics/Computational Biology/Systems Biology is a
plus. Evidence of top quality research in the form of published
papers and/or software is a definite advantage. Salary will be
within the range £23457 – £26401 per annum accordingly to experience
and qualifications. These 2 posts are available from 1 September
2007.

Informal enquiries may be addressed to Dr N Krasnogor, tel: +44 115
846 7592 or Email: Natalio.Krasnogor@Nottingham.ac.uk.

Applications are only accepted through the electronic applications’
webserver at: http://www.asap.cs.nott.ac.uk/asapvaca/vacancies.php.

Closing date: 1 June 2007.
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