বিষয়বস্তুতে যান

Post-Doc Research Associate

Overview
University of North Carolina at Chapel Hillunc.eduPosted 8 days ago
Chapel Hill, NC, USঅফিসে
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জ্যেষ্ঠতার স্তর
Mid
চাকরির ধরন
পূর্ণকালীন
বিশেষায়ন
Life sciences

পদ সম্পর্কে

The Post-doctoral Research Associate will join the Department of Earth, Marine and Environmental Sciences working under the direction of Prof. Antonia Sebastian at the University of North Carolina at Chapel Hill. The post-doctoral research associate is expected to conduct research on extreme weather events and associated risks using data-driven approaches. They will be expected to contribute to manuscripts through research design, analysis, writing, project management, and mentorship of students. The selected candidate will work closely with researchers at Colorado State University and the University of Oklahoma on a NOAA-funded project to improve flood forecasting systems. The cover letter and/or research statement should include information about future research goals and vision in addition to describing past work. Within the Department, the Flood Hazards Lab conducts research and education to advance the scientific understanding of the dynamic interactions between natural, social, and engineered systems and how they drive the evolution of flood risk across space and time. Examples of projects within the Lab include:

  • Modeling compound flooding from tropical cyclones and other severe weather events in the coastal plain 
  • Advancing understanding of the roles of climate and land use on current and future flood hazards 
  • Advancing understanding of extreme events and their social and economic impacts to individual households and communities 

-Working with local and state governments to assess and prioritize flood mitigation projects and adaptation policy.

Prior experience working with large precipitation datasets and machine learning models is required.

Successful candidates will also demonstrate an understanding of how to assess climate risk and/or evaluate adaptation strategies.

Key skills

  • Project Management
  • Forecasting
  • Machine Learning