St. Petersburg School in Probability and Statistical Physics
June 18-29, 2012


The School is devoted to recent advances in probability and statistical physics as well as to classical topics with current increase of activity. It targets graduate students and postdocs, but undergraduate students and advanced researchers are also welcome to attend. Longer courses will be accompanied by tutorials. The School is organized by the Chebyshev Laboratory at St. Petersburg State University, and will take place at its main campus located on the Vasilievsky island in the historical center of the city. June, the time of white nights and bridges raised at night (at the photo above), is probably the best time to visit St. Petersburg.

We will be able to cover accommodation and possibly travel costs for a number of participants. Priority support will be given to graduate and advanced undergraduate students and recent PhDs who come for the full two weeks of the school. If you are interested in participating, please submit your application with a short CV to spspsp@chebyshev.spb.ru and provide for a letter of recommendation to be sent to the same address. The applications must be submitted by February 12, 2012 to receive full consideration and to allow us to help with visa application. All questions about the School should be addressed to the same e-mail. For non-local participants, please preregister here by March 1 even if you do not need financial or visa support.

А complete application must include:
-application letter with a CV (sent to spspsp@chebyshev.spb.ru)
-recommendation letter
-preregistration.

The registration for foreign participants is closed, as we no longer can offer visa support.
People studying or working in Russia are still encouraged to apply at the link spspsp@chebyshev.spb.ru .

If you live in St Petersburg and are interested in participating, please register by filling the form at the link  http://spspsp.chebyshev.spb.ru/registration .


Longer courses

Alexei Borodin:  Integrable models of random growth and branching graphs

Yuval Peres:  Markov chains: mixing times, hitting times, and cover times

Ofer Zeitouni:  Branching random walks and maxima of Gaussian free fields


Shorter courses and talks:

Yuri Bakhtin:  Ergodic theory of the Burgers equation with random force 

Sourav Chatterjee:  Topics in concentration of measure

Alice Guionnet:  Random matrices and the Potts model on random graphs

Grigori Olshanski:  Non-colliding processes with infinitely many particles

Mikhail Sodin: Random nodal portraits

Yves Le Jan: Markov loops ensembles

Greg Lawler: An introduction to the Schramm-Loewner Evolution, Self-avoiding random walks

Anatoly Vershik: Combinatorial, probabilistic and operator probelms of asymptotic theory of the representations

Vincent Beffara and Hugo Duminil-Copin: The 2D random-cluster model at and around criticality


Organizers

Dmitry Chelkak (Chebyshev Laboratory/St. Petersburg Division of Steklov)
Svetlana Likhova (administration)
Vladas Sidoravicius (IMPA/CWI)
Stanislav Smirnov (Chebyshev Laboratory/University of Geneva)
Vladislav Vysotsky (Chebyshev Laboratory/St. Petersburg Division of Steklov/Arizona State)

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