Local atomic structure of nanomaterials from advanced x-ray neutron and electron diffraction data

We love having undergraduate researchers in our lab!

There are multiple opportunities in the group for summer or semester-time research 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.


Positions

This job is open for the following positions:
  • Undergraduate research
  • Masters research
  • Unpaid
  • Please see here for fellowship opportunities for Columbia/Barnard students: https://studentresearch.engineering.columbia.edu/research-projects
  • And here for more fellowship opportunities more broadly: https://studentresearch.engineering.columbia.edu/content/research-opportunities

Background


Background in at least one of the following fields is requested:
  • 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.

Expertise



Application Information


Status: This position is currently OPEN.

Start Date: Rolling

Posting Date: Jan 1, 2020

Contact: Please contact Prof. Simon Billinge at sb2896ATcolumbia.edu.