AI Hydrology Model Intern at AEM in Remote

Summary: AEM (Advanced Environmental Monitoring) is the global leader in innovative mission critical weather, wildfire and water monitoring and intelligence solutions. The AI Hydrology Model Intern will support a study comparing AI-assisted and conventional hydrologic model calibration, assist in data organization and validation, and contribute to training materials and final reporting. Responsibilities: - You will support an end-to-end comparison study of AI-assisted and AEM-conventional hydrologic model calibration - Assist in defining and documenting the AI vs. AEM model comparison framework - Support the Hydrology Team in running AEM model simulations and collecting AI model results - Help gather, organize, and validate historical hydrometeorological datasets for calibration testing - Participate in statistical performance analysis comparing auto-calibrated and manually calibrated models - Document and evaluate the auto-calibration feature in VFLO - Contribute to the development of training materials and best-practice documentation for AEM hydrologists - Assist the Project Lead in preparing the final report and recommendation by August 21, 2026 Required Qualifications: - Currently enrolled in a degree program in Hydrology, Civil/Environmental Engineering, Water Resources, or a related field - Basic understanding of hydrologic modeling concepts and calibration principles - Familiarity with data analysis and statistical methods - Proficiency with standard data and document tools (Excel, Word, etc.) - Strong written and verbal communication skills for documentation and reporting - Ability to work both independently and collaboratively within a multidisciplinary team Preferred Qualifications: - Experience with hydrologic modeling software such as VFLO, HEC-HMS, or similar distributed models - Exposure to AI/ML concepts or data science methodologies in environmental applications - Experience handling hydrometeorological datasets - Coursework or project experience in model calibration and validation Required Skills: Hydrologic modeling, Model calibration, Statistical methods, Data analysis, Hydrometeorological datasets, VFLO, HEC-HMS, AI/ML concepts, Data science, Excel, Word, Independent work