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Tech Stack
Tools & technologiesAEM
About the role
Key responsibilities & impact- Support an end-to-end comparison study of AI-assisted and AEM-conventional hydrologic model calibration.
- Deliver benchmarking data, training materials, and a final recommendation report to help AEM hydrologists evaluate and adopt best practices.
- 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.
Requirements
What you’ll need- 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.
- Experience with hydrologic modeling software such as VFLO, HEC-HMS, or similar distributed models (preferred).
- Exposure to AI/ML concepts or data science methodologies in environmental applications (preferred).
- Experience handling hydrometeorological datasets (preferred).
Benefits
Comp & perks- Medical
- Dental
- Vision
- Life Insurance
- Short-Term & Long-Term Disability
- 401k match of up to 3%
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
hydrologic modelingcalibration principlesdata analysisstatistical methodsAI/ML conceptsdata science methodologieshydrometeorological datasetsauto-calibrationbenchmarkingmodel simulations
Soft Skills
written communicationverbal communicationindependent workcollaborative workdocumentationreporting
