OverviewAs part of our ongoing growth and expansion, we are seeking a dynamic and experienced Hydrologic Modeler to join our growing team.
ResponsibilitiesDuties of the Hydrologic Modeler will include the following:- 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.
QualificationsThe Hydrologic Modeler selected should have the following:- 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.
The Ideal Hydrologic Modeler will have the following:- 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.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
- 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
