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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
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risk mitigation. Develop decision-support tools (scripts, dashboards, APIs) that translate complex analyses into user-friendly insights for producers and advisors. Apply statistical learning/ML (e.g
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frameworks and resilience theory. Prior experience with participatory or community-engaged research. Prior experience working in coastal communities, the Gulf South, or with Coastal Extension networks. Special
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal