Philip Moll
EPFL STI IMX QMAT
MXD 340 (Bâtiment MXD)
Station 12
CH-1015 Lausanne
Teaching & PhD
Teaching
- Materials Science and Engineering
PhD Programs
- Doctoral Program in Materials Science and Engineering
- Doctoral Program in Microsystems and Microelectronics
Courses
Probability and statistics for materials science
The students understand elementary concepts of statistical methods, including standard statistical tests, regression analysis and experimental design. They apply computational statistical methods to analyse larger data sets. 
Superconducting electronics: A materials perspective
Introduction to superconducting electronic applications, including the fundamental phenomenology of superconductors. Key applications and their material requirements: a) magnets; b) quantum metrology; c) quantum computation.