AI in Water and Climate Forecasting | SGPI

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Eligibility Requirements

• Prerequisite coursework:
  • Intermediate level computer programming or data science course
  • Interest / curiosity in water-related research (climate change; water quality, flood, and drought prediction; and more).
• Target majors:
  • Computer Science, Engineering, Mathematics, Data Science, Geography, Geological Science, Physics, and other related STEM fields
  • Eligibility: Junior year or higher standing
• 3.2 GPA or higher.

Application Requirements

• Highlight specific coding experience in the resume.
• Highlight work with data and computational analysis in Statement of Purpose.

Program Description

• Collaborate with UA faculty to research new computational tools for forecasting floods, droughts, and water quality.
• Advance your professional skills for success in graduate school and the workforce.
• Increase internship and career opportunities in federal agencies and businesses working in the water prediction field.
• Research areas:
  • Applying machine learning and process-based models to predict floods, droughts, and water quality
  • Overcoming challenges working with big water data
  • Using data-driven methods to improve understanding of climate change effects on water systems
  • Creating cyberinfrastructure in support of water prediction research
  • Developing open source tools supporting user interaction with water information
  • Visualization of water information to aid decision makers
• For more information visit https://ciroh.ua.edu/

Program Contact

• Dr. Steven Burian, Director of Science, Alabama Water Institute, sburian@ua.edu