Data Science to Close the Air Pollution Data Gap

We are sorry, this position has been filled.

The student will conduct data analysis to advance the state of the science for in-field calibration of low cost air pollution sensors in India and Africa.

Lab: McNeill Lab

Direct Supervisor: V. Faye McNeill

Position dates: 6/1/2020 - 8/15/2020

Hours per Week: 35 Hours

Paid Position: Yes

Credit Available: Yes

Qualifications: Python programming

Eligibility: Sophomore, Junior; SEAS students only


Prof. V. Faye McNeill, [email protected]