Path Integral Methods in Atomistic Modelling

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 Path Integral Methods in Atomistic Modelling program is a non-degree course for students who want to learn about atomistic modelling. It's taught in English and lasts for one week. This program helps students gain a deeper understanding of path integral methods.

The curriculum covers path integral methods and their application in atomistic modelling. Students will learn about the principles of path integrals and how to use them in simulations. The program includes hands-on components to help students practice their skills.

After completing this program, students can pursue careers as research assistants, simulation engineers, or data analysts. They can work in industries such as materials science, chemistry, or physics. Potential employers include research institutions, universities, or companies that specialize in simulations and modelling.