Hydrologic Modeler

Lynker Corporation•Boulder, CO

8d•$80,000 - $120,000•Hybrid

About The Position

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Hydrologic Modeler to join our growing team.

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.

Nice To Haves

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.

Responsibilities

Train, execute, and synthesize large-scale physics-based and machine-learning hydrologic models across regional to continental domains.
Analyze model results to characterize performance, flow signatures, and hydrologic behavior, and communicate findings to the modeling team.
Calibrate, benchmark, and validate models, quantify uncertainty, and diagnose where and why predictions succeed or fail.
Generate and quality-check model forcings and manage the training processes and datasets that drive these models.
Apply deep-learning approaches to hydrologic prediction, including tools such as NeuralHydrology and dHBV.
Help develop, test, and improve hydrologic and hydraulic routing tools, primarily in Python.
Contribute to the Modeling, Science, and Platform teams by sharing well-documented, reproducible code, methods, and results.

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