Machine Learning in Physics

VDSP-ESI Winter School 2020

Machine learning is currently changing science and technology, including physics. 
We invite Master and PhD students of physics, chemistry and materials science as well as early postdocs from all over the world to join us for keynote talks by leading experts in the field which will be complemented by hands-on class activities.

The Winter School will provide them with a better understanding of fundamental concepts and practical applications of machine learning as well as skills to develop and apply this technique to concrete research tasks.

The Winter School "Machine Learning in Physics" is organised jointly by the Vienna Doctoral School in Physics (VDSP) and the Erwin Schrödinger International Institute for Mathematics and Physics (ESI). It is co-financed by the Vienna Doctoral Program on Complex Quantum Systems (CoQuS) and the Doctoral College Particles and Interactions (DKPI).

The program contains the following modules.

February 10 - 11, 2020: Introduction to Machine Learning
February 12 - 13, 2020: Machine Learning in Material Science
February 14, 2020: Case Studies & Discussion
February 14, 2020: AI Start-Ups Lunch
February 17 - 18, 2020: Machine Learning in Quantum Science
February 19 - 20, 2020: Machine Learning in Particle Physics

The registration deadline closes on 24 November 2019.

For your application and more detailed information see: Link to Winter School website

Poster (pdf)

Coming soon.

There is currently no participant information available for this event.
At a glance
Graduate School
Feb. 10, 2020 -- Feb. 20, 2020
ESI Schrödinger Lecture Hall
Markus Arndt (U Vienna)
Christoph Dellago (U Vienna)
Christiane Losert-Valiente Kroon (U Vienna)
Massimiliano Procura (U Vienna)