Connectionists: Funded PhD places in Machine Learning in Bristol and Manchester
Gavin Brown
gbrown at cs.man.ac.uk
Thu Jan 24 11:08:18 EST 2008
================================================================
Two (2) PhD Studentships available in Machine Learning
================================================================
Applications are invited for 2 PhD studentships, one at the University
of Manchester, and one at the University of Bristol. Please see details
below. Applications will be pooled so it is not necessary to apply twice
but if you are only willing to study in one place or the other please
indicate so.
========================================================================
========================================================================
========================================================================
========================================================================
PhD Studentship in Machine Learning (Manchester)
Applications are invited for a fully funded three year PhD studentship
in the Machine Learning Group at the School of Computer Science,
University of Manchester. The successful applicant will work with
Machine Learning methods on the ADEPT (Adaptive Dynamic Ensemble
Prediction Techniques) project, under the supervision of Dr Gavin Brown.
Closing date: February 29, 2008 (although applications received before
March 10 may be considered).
Manchester is the largest University in the UK, with the School of
Computer Science ranked at the highest possible grade of 5* in the most
recent Research Assessment Exercise. The PhD position is open in the
Machine Learning Group, working with Dr Gavin Brown.
The post is supported by the newly-funded ADEPT project (http://
www.cs.man.ac.uk/~gbrown/adept/) to start soon in Bristol and
Manchester. Fees will be paid at an EU equivalent level plus an annual
stipend of 12600 UKP for a three year period. The PhD can commence at
any time between approximately June and October 2008.
You should have (or be about to obtain) a first class Undergraduate or
strong Masters degree in Computer Science or a related discipline and an
interest, or ideally experience, in Machine Learning / Pattern
Recognition. This is primarily a scientific, rather than engineering,
project so you will need a scientific mindset. You will need to have or
develop excellent oral and written communication skills. Programming,
software engineering and mathematical
skills will be major assets.
Student fees will be paid at the EU-national level. Yearly fees for
non-EU nationals are approximately 6000 UKP higher and you will either
need to pay this yourself, or win an overseas research scholarship (ORS):
http://www.manchester.ac.uk/postgraduate/
<http://www.manchester.ac.uk/postgraduate/>
international/funding/awardschemes/
in order to make up the difference. The ORS is highly competitive and to be
successful you are likely to need at least one relevant publication before
starting the PhD.
For informal queries please contact Dr. Brown
http://www.cs.man.ac.uk/~gbrown/ <http://www.cs.man.ac.uk/~gbrown/>
To apply, email Dr. Brown:
- your full CV - transcripts of courses taken
- 2 academic references
- a page discussing your interests in machine learning
- optionally a 2-page sample of your written work
Shortlisted candidates will be contacted within 10 days of the closing
deadline.
========================================================================
========================================================================
========================================================================
========================================================================
PhD Studentship in Machine Learning (Bristol)
Applications are invited for a fully funded three year PhD studentship
in the Machine Learning and Biological Computation Group at the
Department of Computer Science, University of Bristol. The successful
applicant will work on Artificial Intelligence / Machine Learning
methods on the ADEPT (Adaptive Dynamic Ensemble Prediction Techniques)
project under the supervision of Drs. Kovacs and Marshall.
Closing date: February 29, 2008 (although applications received before
March 10 may be considered).
The Machine Learning and Biological Computation group in Computer
Science at the University of Bristol has a vacancy for a motivated,
full-time PhD student.
The Department has an outstanding international reputation for research
and teaching; it was rated 5A at the last RAE and currently occupies 3rd
place in The Times league table of departments within the UK.
The post is supported by the newly-funded ADEPT project (http://
www.cs.man.ac.uk/~gbrown/adept/) to run in Bristol and Manchester. Fees
will be paid at an EU equivalent level plus an annual stipend of 12600
UKP for a three year period. The PhD can commence at any time between
approximately June and October 2008.
You should have (or be about to obtain) a first class Undergraduate or
strong Masters degree in Computer Science or a related discipline and an
interest, or ideally experience, in Artificial Intelligence / Machine
Learning / Pattern Recognition. This is primarily a scientific, rather
than engineering, project so you will need a scientific mindset. You
will need to have or develop excellent oral and written communication
skills. Programming, software engineering and mathematical skills will
be assets.
Student fees will be paid at the EU-national level. Yearly fees for
non-EU nationals are approximately 6000 UKP higher and you will either
need to pay this yourself, or win an overseas research scholarship (ORS):
http://www.bristol.ac.uk/studentfunding/
<http://www.bristol.ac.uk/studentfunding/> overseas_pg/ors.html in order
to make
up the difference. The ORS is highly competitive and to be successful
you are likely to need at least one relevant publication before starting
the PhD.
For informal queries contact Dr. Kovacs
http://www.cs.bris.ac.uk/~kovacs/ <http://www.cs.bris.ac.uk/~kovacs/>
To apply, email Dr. Kovacs:
- your full CV - transcripts of courses taken
- 2 academic references
- a page discussing your interests in machine learning
- optionally a 2-page sample of your written work
Shortlisted candidates will be contacted within 10 days of the closing
deadline.
========================================================================
========================================================================
========================================================================
========================================================================
More information about the Connectionists
mailing list