[alife] Research associate position in machine learning at Bristol
Titus Brown
titus at caltech.edu
Thu Jan 24 12:11:48 PST 2008
----- Forwarded message from Tim Kovacs <kovacs at compsci.bristol.ac.uk> -----
From: Tim Kovacs <kovacs at compsci.bristol.ac.uk>
Subject: Research associate position in machine learning in Bristol
Research Associate
Department of Computer Science
You will act as RA on the Adaptive Dynamic Ensemble Prediction Techniques
(ADEPT) project which aims to merge theory and practice between two
sub-fields of Machine Learning: Ensemble methods and evolutionary Learning
Classifier Systems. Though they have developed largely in isolation we
believe these areas are both significantly overlapping and complementary. We
aim to unify the two areas and use the best of both to develop novel
predictor-independent methods applicable to a range of machine learning
problems. This is an exciting opportunity to conduct original scientific
research at the cutting edge of machine learning from within a large and
diverse group. You will deliver empirical results, software, theoretical
analyses, and oral and written reports.
You will be based with the department of computer science's Machine Learning
and Biological Computation group
http://www.cs.bris.ac.uk/Research/MachineLearning/ which is part of
Intelligent Systems at Bristol http://intelligentsystems.bristol.ac.uk/ and
home to an MSc Machine Learning and Data Mining degree
http://www.cs.bris.ac.uk/handbook/2007-8/course-msc-cs.html. You will
collaborate with other project members in Bristol, Manchester and
Birmingham, and generally contribute to the academic life of the department.
Objectives of the project include:
- Developing ensemble methods for dynamic / non-stationary problems
- Developing ensemble methods for multi-step problems
- Adapting the explicit probabilistic modelling approach of Estimation of
Distribution Algorithms (EDAs) to our novel methods to better solve
problems
with interactions between variables
- Building a statistical framework for classifier systems by drawing on the
pattern recognition literature
Essential qualifications:
- A PhD in a relevant area
- An excellent track record of publishing high-quality research
- Excellent communication skills (oral and written)
- Initiative and independence
- A strong background in machine learning, pattern recognition and/or
evolutionary computation.
Desirable qualifications:
- Evidence of the ability to carry out research independently and to a high
standard
- A background in one or more of the following:
- evolutionary computation
- reinforcement learning
- ensemble methods
- multi-objective learning methods
- probabilistic modelling approaches
- evolutionary learning classifier systems
- Good software engineering skills (including e.g. familiarity with UML and
design patterns and experience with substantial projects)
Salary up 28,290 UKP depending on qualifications and experience
Contact for informal enquiries: http:/www.cs.bris.ac.uk/~kovacs
Timescale of appointment:
Contract: Fixed Term Contract
35 months from start date
Anticipated interview date: 03 March 2008
Anticipated start date: 01 April 2008
Closing date for applications: 9:00am on 18 February 2008
For further information see http://www.bris.ac.uk/boris/jobs/ads?ID=71287
----- End forwarded message -----
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