|Title||Graduate Fellow in Machine Learning to Reduce Oil & Gas Emissions|
|Company||UChicago Energy & Environment Lab|
The UChicago Energy & Environment Lab (E&E Lab) is seeking a graduate fellow for the summer of 2020. The E&E Lab works in close partnership with government leaders to identify and test innovative approaches to the most pressing environmental challenges. One of the E&E Lab’s main projects leverages machine learning and novel remote sensing to reduce oil and gas methane emissions in Colorado, in close partnership with Colorado state regulators. The project is funded by the Center for Data and Computing (CDAC) at the University of Chicago.
The graduate fellow will receive a travel stipend, and gain membership to CDAC’s graduate student cohort of researchers in data science and related fields.
The fellow will be embedded with the Colorado regulator in Denver, Colorado for the duration of the summer. The fellowship can also be extended to start or continue through the academic year, on a part-time basis. The full job description is attached, and applications are accepted at http://bit.ly/ee-grad-fellow.
|Deadline||01 March 2020|