취업 및 행사 정보
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| 공지 종료 |
The German–Korean International Research Training Group (IRTG) 2235
"Searching for the regular in the irregular: Analysis of singular and
random systems" funded by the German Research Foundation (DFG) offers
several PhD positions at Bielefeld University, starting October 1, 2022,
or earlier.
The application deadline is May 15, 2022.
The IRTG is a joint research program established by the Faculty of
Mathematics at Bielefeld University, Germany, and the Department of
Mathematical Sciences at Seoul National University, South Korea. The
IRTG concentrates on advanced techniques from the mathematical field of
analysis including geometric, stochastic and numerical analysis together
with latest developments in neighboring fields such as mathematical
physics and probability theory. The focus is on the mathematical
analysis of problems which generically exhibit singular features or
randomness. The topics include stochastic dynamics, stochastic partial
differential equations, machine learning, nonlinear wave equations,
integrodifferential equations, random matrices, generalized Dirichlet
forms, analysis on manifolds and fractal metric spaces.
Further information including details about the application process can
be found here:
https://irtg.math.uni-bielefeld.de/doctoral_positions/open2022
"Searching for the regular in the irregular: Analysis of singular and
random systems" funded by the German Research Foundation (DFG) offers
several PhD positions at Bielefeld University, starting October 1, 2022,
or earlier.
The application deadline is May 15, 2022.
The IRTG is a joint research program established by the Faculty of
Mathematics at Bielefeld University, Germany, and the Department of
Mathematical Sciences at Seoul National University, South Korea. The
IRTG concentrates on advanced techniques from the mathematical field of
analysis including geometric, stochastic and numerical analysis together
with latest developments in neighboring fields such as mathematical
physics and probability theory. The focus is on the mathematical
analysis of problems which generically exhibit singular features or
randomness. The topics include stochastic dynamics, stochastic partial
differential equations, machine learning, nonlinear wave equations,
integrodifferential equations, random matrices, generalized Dirichlet
forms, analysis on manifolds and fractal metric spaces.
Further information including details about the application process can
be found here:
https://irtg.math.uni-bielefeld.de/doctoral_positions/open2022
