Multi Scale Informatics code Research

We are sorry, this position has been filled.

The selected applicant will contribute to ongoing research in the Burke lab by building and writing parts of the Multi Scale Informatics code, which combines theoretical and experimental data to create optimized kinetics models for various combustion and other chemically reacting systems. Using these models, one can address a variety of real world problems, which include improving vehicle emissions, effectively destroying chemical/biological weapons, and developing  novel engine designs. The selected student will develop code for mining, categorizing, and restructuring data from various online databases and creating visualization and other post-processing functionalities. In addition to computational work, the student will have the opportunity to assist in ongoing experimental work in the lab.

Lab: Data-Enabled Science and Engineering for Energy and the Environment

Direct Supervisor: Michael P. Burke

Position Dates: 8-10 Weeks, Summer 2018

Hours per Week: 40

Paid Position: Yes

Credit: No

Positions available: 1

Qualifications: The student should be familiar with, but preferably proficient in, python or another equivalent language. The student should also ideally have some minimal computational or modeling experience.

Eligibility: Freshman, Sophomore, Junior, Senior; SEAS only

To express interest, inquire about the position, and/or apply, please email Prof. Michael Burke with the subject line “Summer Research Position”.

Michael Burke: