Enabling technologies/analytics to support the Energy Transition

The summer interns in this program will engage in a variety of data analytics tasks to support the research around the Energy Transition, i.e. deep decarbonization pathways. In particular we will investigate the role of on and off-shore wind and solar energy to achieve the transition. The candidates should be conversation with tools of time-series data analysis and ideally familiar with either R or Python to carry out such analysis. Students will need to combine the knowledge of energy systems with that of the variability of renewable sources. 


Direct Supervisor: Vijay Modi

Position Dates: 5/20/2019 - 8/30/2019

Hours per Week: 40

Paid Position: Yes

Credit: No

Qualifications: Energy sources, conversion, data analysis, R or Python

Eligibility: Master's; SEAS only

To apply contact [email protected]

Professor Karen Kasza, [email protected], Mudd 220C, 212-851-7677