Extreme Weather and Climate Change

Analyze atmospheric data sets to address problems related to extreme weather and climate change. E.g., understand the relationship between extreme precipitation and climate variables, using extreme value theory conditioned on climate covariates. Requires good programming skills in python, knowledge of statistics, physics, and mathematics, and ability to work independently.

Name of Lab: Extreme Weather and Climate

Direct Supervisor: Michela Biasutti, Chiara Lepore

Hours per week: 40 hr/week

Number of positions: 1

Position type: On site

Position is paid

Qualifications: Python, statistics, calculus

Eligibility: Sophomore, Junior, Senior

SEAS students only: Yes

Adam Sobel, [email protected]