Sample interview questions: Can you describe any experience you have with using machine learning or data-driven approaches in condensed matter physics research?
Sample answer:
I have extensive experience in using machine learning (ML) and data-driven approaches in condensed matter physics research. Here are some specific examples:
- Developed ML models to predict the properties of materials from their chemical composition and crystal structure. These models have been used to design new materials with desired properties, such as high thermal conductivity or low electrical resistivity.
- Used ML to identify patterns in large datasets of experimental data. This has led to the discovery of new physical phenomena, such as the existence of topological insulators.
- Developed data-driven methods to control… Read full answer
Source: https://hireabo.com/job/5_0_7/Condensed%20Matter%20Physicist