Advanced statistical physics

EPFL, located in the Lausanne area, is a leading European research university focused on science, engineering and technology. Founded in 1853, the school is renowned for interdisciplinary research, strong ties to industry and an entrepreneurial ecosystem that supports hundreds of startups. Students encounter a rigorous curriculum that emphasizes hands-on projects, collaboration and the translation of research into practical solutions.

The campus offers state of the art laboratories, innovation hubs and close partnerships with industry leaders in robotics, AI, sustainable energy and biotechnology. International students join a diverse community and benefit from programs taught in English, extensive research opportunities and structured doctoral and masters pathways. EPFL s connections with Swiss industry create clear pipelines for internships, collaborative theses and employment after graduation.

Life at EPFL blends academic intensity with a supportive environment that includes career services, language support and student associations. Lausanne s location on Lake Geneva provides a high quality of life and plentiful outdoor activities while remaining central to European research networks. Applicants should highlight research interests, teamwork experience and readiness for an intensive, innovation driven academic setting.

The Advanced statistical physics program is a non-degree course for students who want to deepen their understanding of physics. It's a 1-week online course taught in English at École polytechnique fédérale de Lausanne (EPFL) in Switzerland. This program helps students learn advanced concepts in statistical physics.

The curriculum covers topics such as thermodynamics, kinetic theory, and phase transitions. Students will learn to apply mathematical techniques to solve problems in statistical physics, and analyze data to understand complex phenomena. The course includes discussions of recent research in the field.

After completing this program, students can pursue careers as Theoretical Physicists, Research Scientists, or Data Analysts. They can work in industries like energy, materials science, or academia, for employers such as CERN, NASA, or research institutes.