Connectionists: Permanent Lectureship in Disordered Systems at King's College London

[psollich@mth.kcl.ac.uk]

Dear colleagues -

We have an opening for a permanent lectureship in the Disordered Systems
group at King's College London, to be filled in Jan 2007 or as soon as
possible thereafter.  I attach the outline advert below and would be
grateful if you could bring this opportunity to the attention of any
suitable candidates with interests in e.g. machine learning, statistical
inference and statistical mechanics or related areas as detailed below.

The full details and application pack can be downloaded from

http://www.mth.kcl.ac.uk/research/dsnn/LectureshipDisorderedSystems.doc

The closing date for applications is 25 August 2006 so applications should
be submitted as soon as possible.

Many thanks in advance -
Peter

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 Prof. Peter Sollich                         Department of Mathematics
 Phone:  +44 - (0)20 - 7848 2875             King's College
 Fax:    +44 - (0)20 - 7848 2017             University of London
 E-mail: peter.sollich at kcl.ac.uk             Strand
 WWW:    http://www.mth.kcl.ac.uk/~psollich  London WC2R 2LS, U.K.
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LOOK: Update to email address above; old address psollich at mth.kcl is defunct.


Applications are invited for a Lectureship in Complex and Disordered
Systems, in the Disordered Systems group of the Department of Mathematics,
to be taken up with effect from January 2007 or as soon as possible
thereafter.

The successful candidate will expand and enhance the research spectrum of
the Disordered Systems group. In particular we are looking for a candidate
whose research expertise falls within the statistical mechanics of
disordered and complex systems (equilibrium and non-equilibrium), and its
applications to e.g. glassy physics (structural, spin and quantum
glasses), soft condensed matter (polymers, glassy rheology,
polydispersity), complex networks, proteins and their interactions,
biophysics, econophysics, machine learning, or statistical inference.

The successful candidate will be expected to contribute to the teaching of
the interdisciplinary MSc course in Information Processing and Neural
Networks, and to other applied mathematics courses.

We are looking for candidates with a proven research track record
appropriate for appointment to the above post. Applicants will be expected
to hold a PhD in Applied Mathematics or Theoretical Physics and have
postdoctoral experience in the statistical mechanics of complex and
disordered systems. They will have demonstrated, through published work in
highly rated and high-calibre journals, the potential to develop an
international reputation in their research areas. They will preferably
have worked with research students and have some experience of teaching in
a university environment.