Academic

The Machine Learning Research Group at the University of Bristol has
currently openings for various doctoral and post-doctoral research
positions. The Bristol ML group is a young, dynamic and rapidly growing
research group (at the moment 4 staff, 1 postdoc and 7 research
students). We currently co-ordinate the ILPnet2 European Network of
Excellence on Inductive Logic Programming, as well as an EU-funded
project on meta-learning, and participate in another large EU-funded
project establishing a virtual enterprise for data mining and decision
support. The group has a strong international orientation and
collaborates with many leading machine learning groups. Our main
research focus includes inductive logic programming, knowledge
representation for inductive learning, meta-learning, and application
areas include user modelling and knowledge discovery. Bristol also runs
a successful MSc course on Machine Learning.

The current openings include:

 - a postdoc position funded by the METAL project (available now);
 - a PhD position funded by an EPSRC project on efficient first-order
   probabilistic models for inference and learning (available now);
 - a postdoc position funded by the Solomon project (from 1st July).

More information about the group, our research and publications, and
the above projects and vacancies can be obtained from our website at
http://www.cs.bris.ac.uk/Research/MachineLearning/ . More information
about our Machine Learning MSc course (we still accept applications)
can be found at http://www.cs.bris.ac.uk/Teaching/MachineLearning/ .

The Department of Computer Science currently also has openings for a
Professorship and a Lectureship. The department is an international
centre of excellence which scored 5A in the last Research Assessment.
More information about these vacancies can be obtained from the
department's website at http://www.cs.bris.ac.uk/ .

If you are interested in any of these positions, please contact Peter
Flach (Peter.Flach@bristol.ac.uk) or Christophe Giraud-Carrier
(cgc@cs.bris.ac.uk).