[DMANET] PhD scholarships at Monash University (combinatorics, random graphs)

Outstanding candidates are sought for PhD scholarships in combinatorics,
in particular random graph theory, random networks and probabilistic
combinatorics. The scholarships are associated with the Australian
Laureate Fellowship held by Nick Wormald, at Monash University in
Melbourne, Australia.

This area of pure mathematics uses graph theory, probability theory and
some analytic methods. It is of fundamental interest in understanding
the nature of random structures such as models of the world wide web or
other large networks and are also interrelated to asymptotic enumeration
of structures such as graphs. There are growing numbers of applications
in algorithmic Computer Science, and results in the area can lead to
novel algorithms for practical problems, or to new understanding of the
inherent difficulties of the computational solutions of problems. See
http://users.monash.edu.au/~nwormald/ for more information on recent
research.

Successful applicants will join in the activities of the School of
Mathematical Sciences, Monash University, and interact with the
University's very active Discrete Mathematics group
(http://www.csse.monash.edu.au/~gfarr/research/res-gp-mtgs.html).

Candidates should have an honours degree or equivalent in pure
mathematics or a closely associated discipline. Experience with graphs,
discrete probability and/or complex analysis and measure theory are
highly advantageous.

The scholarships cover living allowance, as well as being able to cover
tuition fees in the case of International students.

Application method: by 15 December 2014, send an email to Nick Wormald
<nicholas.wormald@monash.edu> including:

* your academic transcript (of all subjects studied and marks obtained),
* a brief CV, including publications if any, and
* a list with full contact details of at least two (preferably three)
referees, mentioning their relationship to you.

For further enquiries, email Nick Wormald <nicholas.wormald@monash.edu>.
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