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Machine Learning + Bioinformatics Positions Available
Apologies if you receive more than one copy of this announcement.
2 Research Fellowships, 1 Ph.D. Scholarship Available
We are pleased to announce the availability the following Bioinformatics
/ Computational biology positions in the School of Computer Science & IT
at the University of Nottingham under the supervision of Dr. N. Krasnogor:
Project “Robust Prediction with Explanatory Power for Protein Structure
and Related Prediction Problems”
· 1 funded Ph.D. Scholarship (3 years funding)
· 1 Postdoctoral research fellowship (3 years project)
Project “Automated, Grid-Aware, Three-Tier Protocol for Protein
Structure Comparison”
· 1 Postdoctoral research fellowship (1.5 years project)
Robust Prediction with Explanatory Power for Protein Structure and
Related Prediction Problems
-----------------------------------
The “Robust Prediction with Explanatory Power for Protein Structure and
Related Prediction Problems.” is a collaborative project with The
University of the West of England and The School of Chemistry at the
University of Nottingham.
The project intends to develop more general, intelligent and reliable
classification and predictive technologies for problems in
bioinformatics (particularly, predicting the structure of proteins). We
aim to explore and investigate the feasibility of designing and
implementing robust classification and predictive systems that can
deliver high quality predictions at the same time as
human-understandable explanations for those predictions. A successful
outcome to this project could lead to a greater understanding of the
issues that underpin predictive and classification software systems in
general, and perhaps more importantly, those that have an immediate
impact on quality of human life: bioinformatics. It is in domains like
this where the availability of human-understandable explanations are as
important as correct predictions. In this project, we will employ a
variety of machine learning technology. We expect that the new machine
learning techniques that we will develop would yield robust, accurate
predictions, with the explanatory power not available in other methods.
The ideal candidate will have an existing understanding of machine
learning, particularly evolutionary computation and neural networks.
However, candidates with other relevant experience may be considered.
The Ph.D. vacancy is open only to UK and EU students. They 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. Candidate Ph.D. students must apply with a cover letter
explaining why they want to pursue doctoral studies, a list of
publications (if available), two references and a CV. ALL THE MATERIAL
MUST BE SENT IN PDF.
The Postdoctoral vacancy is open to any person with suitable
qualifications. As a minimum she/he must have a Ph.D. in computer
sciences, mathematics, physics, chemistry or biology. If the Ph.D. is
not in computer science then proven programming skills are a required
condition. Relevant experience in Bioinformatics/Computational Biology
is a plus. Candidate Postdocs must apply with a cover letter mentioning
past and current research interests, list of publications, copy of
her/his top two publications, detailed CV and three references. ALL THE
MATERIAL MUST BE SENT IN PDF.
It is expected that the Ph.D. scholarship and Postdoctoral fellowship
would begin early 2005.
Application Deadline is 25 December 2004.
The Postdoctoral salary will be within the range £18,893 - £24,097 per
annum, depending on qualifications and experience. This EPSRC funded
post is available from 1 February 2005 and will be offered on a
fixed-term contract for a period of three years.
The Ph.D. scholarship covers home fees + a stipend (which for 2005/06 is
12,000 pounds).
For further information or for applications, please email
Natalio.Krasnogor@Nottingham.ac.uk, in the subject mention the title of
the project and the position you are interested in. If applying please
attach the PDF files with the requested material.
Automated, Grid-Aware, Three-Tier Protocol for Protein Structure Comparison
-----------------------------
The “Automated, Grid-Aware, Three-Tier Protocol for Protein Structure
Comparison” is a collaborative project with The School of Chemistry at
the University of Nottingham.
The comparison of protein structures, and their clustering (according to
similarity) is a fundamental aspect of today's biomedical research. The
comparison of the 3D structures of protein molecules is a challenging
problem. The search for effective solution techniques for this problem
is justified because such tools can aid scientists in the development of
procedures for drug design, in the identification of new types of
protein architecture, in the organization of the known universe of
protein structures and can help to discover unexpected evolutionary and
functional inter-relations between proteins. There is yet another
important role for measures of similarity and clustering algorithms: the
evaluation of ab initio, threading or homology modelling structure
predictions. Hence, any advancement in structural similarity measures
will also impact on structure prediction and the methodologies for the
evaluation of those predictions . In this projectl we will undertake
the implementation of an extended (three-tier) protocol for protein
structure comparison building on our recent research progress.
The Postdoctoral vacancy is open to any person with suitable
qualifications. As a minimum he/she must have a Ph.D. in computer
sciences, mathematics, physics, chemistry or biology. If the Ph.D. is
not in computer science then excellent proven programming skills are a
required condition. Relevant experience in Bioinformatics/Computational
Biology is a plus, particularly the implementation of public
web-services or GRID based architectures.
Candidates must apply with a cover letter mentioning past and current
research interests, list of publications, copy of her/his top two
publications, detailed CV and three references. ALL THE MATERIAL MUST BE
SENT IN PDF.
It is expected that Postdoctoral fellowship would begin in early 2005.
Application Deadline is 15 December 2004.
Salary will be within the range £18,893 - £24,097 per annum, depending
on qualifications and experience. This BBSRC funded post is available
from 1 January 2005 and will be offered on a fixed-term contract for a
period of one and a half years.
For further information or for applications, please email
Natalio.Krasnogor@Nottingham.ac.uk, in the subject mention the title of
the project and the position you are interested in. If applying please
attach the PDF files with the requested material.
--
PS1: Please check out the call for chapter contributions to the book
"Systems Self-Assembly: Multidisciplinary Snapshots"
http://www.cs.nott.ac.uk/~nxk/SYSEAS/index.html
PS2: Please check out our new book "Recent Advances in Memetic Algorithms"
www.springeronline.com/sgw/cda/frontpage/0,11855,5-40356-72-34233226-0,00.html
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NATALIO KRASNOGOR, Ph.D. Automated Scheduling, Planning and
Optimisation Group
Lecturer School of Computer Sciences and Information
Technology
Jubilee Campus
University of Nottingham
Tel.: +44 - 0115 - 8467592 Nottingham, NG81BB
United Kingdom
URL: http://www.cs.nott.ac.uk/~nxk/
e-mail: Natalio.Krasnogor-replace all this by at symbol-nottingham.ac.uk
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We have recently published a book on Fuzzy Sets, details at
http://www.springer-ny.com/detail.tpl?isbn=354000551X