Hydrologic Modeler

🕒 Julho 31

⛰️ Colorado – Remoto

⛰️ Colorado – Remote

💵 $80.000 - $120.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

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Lynker

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2007

💼 Consultoria

🔬 Ciência

Consulting • Science • Engineering

A Lynker é uma empresa líder em ciência, engenharia e tecnologia, que se especializa em fornecer soluções inovadoras em ciência do clima e meteorologia, ciência e engenharia marinha/oceânica, e clima e meteorologia espacial. A empresa colabora com governos, comunidades e indústrias para oferecer serviços impactantes que abordam a segurança ambiental global e a prosperidade econômica. Aproveitando o conhecimento de uma equipe de cientistas, engenheiros e educadores qualificados, a Lynker enfrenta algumas das missões e desafios mais importantes da nação, além de se concentrar em treinamentos, comunicação e divulgação para políticas ambientais eficazes e conformidade.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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