Hydrologic Modeler

🔥 11 minutes ago

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $80k - $120k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

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Lynker

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

💼 Consulting

🔬 Science

Consulting • Science • Engineering

Lynker is a premier science, engineering, and technology company that specializes in providing innovative solutions in weather and climate science, marine/ocean science and engineering, and space weather and space climate. The company partners with governments, communities, and industries to deliver impactful services that address global environmental security and economic prosperity. By leveraging a team of skilled scientists, engineers, and educators, Lynker tackles some of the nation’s most important missions and challenges, while also focusing on training, communications, and outreach for effective environmental policy and compliance.

📋 Description

• Model training & execution: train, execute, and synthesize large-scale physics-based and machine-learning hydrologic models across regional to continental domains. • Synthesis & interpretation: analyze model results to characterize performance, flow signatures, and hydrologic behavior, and communicate findings to the modeling team. • Calibration & evaluation: calibrate, benchmark, and validate models, quantify uncertainty, and diagnose where and why predictions succeed or fail. • Forcing & training data: generate and quality-check model forcings and manage the training processes and datasets that drive these models. • ML/AI methods: apply deep-learning approaches to hydrologic prediction, including tools such as NeuralHydrology and dHBV. • Routing tools: help develop, test, and improve hydrologic and hydraulic routing tools, primarily in Python. • Collaboration: contribute to the Modeling, Science, and Platform teams by sharing well-documented, reproducible code, methods, and results.

🎯 Requirements

• Master's in hydrology, water resources, engineering, hydrologic sciences, applied mathematics, computer science, or a related field; or a Bachelor's plus 2 years training and running hydrologic, physics-based, and/or machine-learning models; or equivalent experience. • Background in hydrology, ideally including ecological or environmental flows, with an understanding of how water moves through watersheds and river systems. • Strong Python skills, and experience with a deep-learning framework such as PyTorch. • Understanding of model forcing generation and training workflows for large-scale models. • Comfort working with large gridded and time-series datasets, Git, and Linux. • Experience with machine-learning hydrologic modeling tools such as NeuralHydrology and dHBV, or comparable physics-informed and differentiable modeling approaches. • Experience developing or applying hydrologic and hydraulic routing methods. • Familiarity with the Next Generation Water Resource Modeling Framework. • Experience with high-performance or parallel computing for large-scale model runs. • Track record of scientific writing, publication, or open-source contribution. • Colorado Front Range presence for periodic in-person collaboration.

🏖️ Benefits

• Comprehensive healthcare for the employee at no monthly cost • Healthcare benefit covers medical, prescription drug, dental, and vision • Personal Time Off (PTO) Policy plus paid holidays • Highly competitive compensation plan regularly calibrated against industry and location benchmarks • 401(k) retirement plan with company-matching • Employee Stock Ownership Plan (ESOP) – we’re all company owners! • Flexible spending accounts • Employee assistance program (EAP) • Short- and long-term disability insurance • Life and accident insurance • Tuition assistance/Training/Workforce improvement reimbursement per year • Spot bonuses for exceptional performance • Annual Employee Recognition Awards with bonuses • Employee Referral Program • Free centralized, self-directed Learning Management System to learn at your own pace • Personalized career growth plans for every employee