A Microsoft Research funded studentship is available at the School of Informatics, University of Edinburgh, to work on machine learning methodology for systems biology. Specifically, the research will involve modelling plants' circadian clocks; it will be jointly supervised by Dr Guido Sanguinetti (Informatics, Edinburgh) and Prof Chris Bishop (MSR, Cambridge), and will involve collaboration with Prof Andrew Millar's group at the Centre for Systems Biology at Edinburgh.
For further information and how to apply, please see
Research Associate in Computational Complexity and Behavioural Evolution
University of Sheffield, UK
Duration: 18-months with potential for extension
Deadline: 25th March 2011
UNIVERSITY POSTDOCTORAL RESEARCH FELLOWSHIPS IN STATISTICS (2 POSTS)
Department of Pure Mathematics and Mathematical Statistics
Salary: GBP 27,319-?35,646 pa
Limit of Tenure applies*
Applications are invited for two Postdoctoral Research Fellowships in
Statistics, to be held in the Statistical Laboratory.
Informal enquiries can be directed to Professor A.P. Dawid (email:
Further particulars and full details of how to apply can be found at
* Limit of tenure: 3 years
THREE Postdoctoral Fellowships in Robotics, Machine Learning and Animation @ University of Edinburgh, UK
We have THREE postdoctoral openings in the field of Robotics and Animation, with an emphasis on Machine Learning techniques for adaptive representation, dynamic planning and motion synthesis in high dimensional, anthropomorphic robotic systems and articulated full-physics animation. We are looking for highly motivated individuals with a strong publication record and solid background in the fundamentals of machine learning, planning and control in robots and/or experience with physically based graphics and animation.
University College London has an opening for a Reader/Professorship in
Please see the following link for more information:
Dear Pascal researchers,
we are proud to announce mldata, the machine learning data set
repository at http://mldata.org.
mldata is a community website aimed at exchanging data sets. Compared
to existing sites, the emphasis lies on community. That means that
anyone can upload data, comment on existing data sets, contribute
solutions to existing data sets, discuss topics in the forum, and in
general easily interact with other users.
mldata is organized into four main types of objects:
* Data - just raw data
* Task - learning tasks defined on data sets
Featured BMI Workshop
IEEE SMC 2011: 3rd Annual Workshop on Brain-Machine Interfaces
October 10-11, 2011
This workshop is co-sponsored jointly by the IEEE Systems, Man, and Cybernetics Society (SMC), Circuits and Systems Society (CAS), and the Engineering, Medicine and Biology Society (EMBS).
April 1, 2011: Deadline for submission of full-length papers
June 1, 2011: Acceptance/Rejection notification
July 5, 2011: Final camera-ready papers due in electronic form
For more details:
1st International Workshop on Similarity-Based Pattern Analysis and Recognition
28-30 September, 2011
MOTIVATIONS AND OBJECTIVES
Traditional pattern recognition techniques are intimately linked to
the notion of "feature spaces." Adopting this view, each object is
described in terms of a vector of numerical attributes and is
therefore mapped to a point in a Euclidean (geometric) vector space so
that the distances between the points reflect the observed
(dis)similarities between the respective objects. This kind of
In this workshop, we aim to bring together researchers working on inference problems
in computer vision and pattern recognition, in which the specific 'structures' that arise in
real applications allow for reduced complexity or increased accuracy.
Well-known examples include submodularity, sparsity, and convexity.
However, there are numerous lesser-known yet important results:
exploiting shared potentials; choosing message-passing schemes based on speciﬁc
inputs; exploiting potential functions that are 'truncated'; exploiting topology in
19th European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning
Bruges (Belgium) - April 27-28-20, 2011
The preliminary program of the ESANN 2011 conference is now available on the Web:
For those of you who maintain WWW pages including lists of related machine learning and artificial neural networks sites: we would appreciate if you could add the above URL to your list; thank you very much!