The evaluation of coastal flooding threats due to storms and tsunamis are critical to evaluate for the sustainability of coastal communities throughout the world. Making sure that the software that we employ to evaluate these risks is correct and matches the real-world is therefore critical to ensuring our evaluation of these risks is correct. This project helps to do just that for a particular event and helps to identify short-comings of current state-of-the-art codes for evaluating coastal flooding.
Position Dates: Summer 2022
Direct Supervisor: Kyle Mandli
Hours per week: 20 hr/week
Number of positions: 1
Position is paid
Position is available for credit
Position type: Hybrid (both remote and on site)
Qualifications: Programming, preferably Python. Some understanding of statistics.
Eligibility: Freshman, Sophomore, Junior, Senior, Master's
SEAS students only: No