Seasonal Computational Research Assistant

Job Summary

To support the Department of Civil and Environmental Engineering, the part-time hourly Seasonal Computational Research Assistant will leverage AI/ML to build predictive models for environmental impacts, manage Big Data analytics, and maintain the codebase on GitHub while presenting progress at weekly meetings.

Key responsibilities

• Leverage advanced AI/ML to build predictive models for hydroclimate extremes
• Manage Big Data analytics involving remote sensing and climate/hydrologic model outputs
• Maintain the codebase on GitHub and present progress at weekly group meetings

Required qualifications

• Bachelor's degree in Science, Math, Engineering, or a related scientific/technical discipline
• Strong background in AI/ML
• Proficiency in Python and data analysis
• Experience carrying out research protocols and tests
• Excellent communication skills