Data analytics, automation, and multi-scale/multi-physics modeling of complex reacting systems

Location of Research: Remote

We are sorry, this position has been filled.

The Burke lab of Columbia University focuses on addressing scientific challenges in the field of complex reacting systems through a combination of novel experimental and computational strategies that employ high levels of automation, data analytics methods, and multi-scale/multi-physics models. The student researcher would contribute to the further development of the mixed-experimental-and-computational strategies and/or their application to specific complex reacting systems.

Lab: Burke Lab

Direct Supervisor: Prof. Michael Burke

Position Dates: 5/3/2021 - 8/27/2021

Hours per Week: 40

Paid Position: Yes

Credit: Yes

Qualifications: Programming in Python; computational/modeling experience; additional preference for basic knowledge of complex reaction systems, familiarity with Cantera software, and/or strong background in computer science

Eligibility: Sophomore, Junior, Senior, Master's; SEAS only


Michael Burke, [email protected]