There are multiple opportunities in the group to learn how to understand atomic arrangements on the nanoscale (a billionth of a meter) and the relationship of these to properties of those materials. In the group we study a wide range of materials, from the applied (HIV pharmaceuticals) to the pure science (understanding novel magnetic and superconducting properties of exotic quantum materials with no known applications). We also develop new experimental and computational methods for analyzing nanostructure.
Depending on your interests there are likely to be various options available to work on. What all the projects have in common is the use of computers to carry out advanced data analysis. No prior experience is required for these positions, but for success it is necessary that you have an interest in learning how to use advanced computing, including for example, machine learning, AI and other statistical methods to answer real scientific questions. Experience in these areas, and in programming in Python, is even better.
Position Dates: 6/1/2020 - 8/15/2020
Hours: 40 hours/week
Location of lab: 1105A Mudd
Qualifications: No particular experience required but a keen interest in using, or learning to use, computers to analyze data to answer interesting scientific questions. Experience in coding in python is a plus as is any experience with data analysis, including AI, and machine learning.
Eligibility: Freshman, Sophomore, Junior, Senior, Master's
Prof. Simon Billinge, firstname.lastname@example.org