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Martin Hairer
Prof. at EPFL
Research Interests
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About
Professor Martin Hairer is a faculty member at EPFL in Switzerland. His research encompasses stochastic quantization, stochastic partial differential equations, and geometric flows, as evidenced by his recent articles such as "A simple construction of the sine‐Gordon model via stochastic quantization" and "Global existence for perturbations of the 2D stochastic Navier–Stokes equations with space-time white noise." Professor Hairer is recognized for his contributions to the understanding of complex stochastic processes and their applications in mathematical physics.
Recent Grants
Grant: Close
Behaviour near criticality
Open Date: 2014-09-01
Close Date: 2019-08-31
Grant: Close
Singular Stochastic PDEs
Open Date: 2013-09-01
Close Date: 2019-09-01
Grant: Close
Warwick Symposium: Probability
Open Date: 2011-08-31
Close Date: 2013-08-30
Grant: Close
New Scaling Limits and Other Recent Developments in Probability
Open Date: 2008-03-11
Close Date: 2008-07-09
Grant: Close
Stochastic PDEs Arising in Conditional Path Sampling
Open Date: 2007-03-30
Close Date: 2010-03-29
Positions (1)
Martin Hairer
EPFL
New Today
An on-site postdoctoral position is available at EPFL in Lausanne within the group of Prof. Martin Hairer. The project sits in the broad area of stochastic analysis and focuses on research in and around stochastic partial differential equations and probabilistic aspects of quantum field theory. The successful candidate will collaborate on research projects shaped partly by their own background and interests, with room to pursue independent ideas alongside the group’s ongoing mathematical research. The position is embedded in a world-class research environment and includes participation in departmental activities. The role is hosted at one of Europe’s leading science and engineering institutions, offering a mathematically focused setting for advanced work in probability, stochastic PDEs, and related areas.
New Today
Articles (14)
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2025
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Collaborators (5)
Lorenzo Zambotti
Sorbonne Université
Massimiliano Gubinelli
University of Oxford
Khoa Le
Lecturer in financial mathematics
University of Leeds
Tommaso Rosati
Assistant Professor
Imperial College London
Xue-Mei Li
Professor
Imperial College London
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