Computational Science & Environmental Modeling Specialist

Computational Science & Environmental Modeling SpecialistWe are looking for a Computational Science & Environmental Modeling Specialist with expertise in numerical modeling, scientific computing, computational physics, and/or environmental and water-system modeling.This role is ideal for candidates who enjoy solving complex scientific problems using mathematical models, simulations, computational tools, and quantitative analysis.Key Responsibilities

• Develop, analyze, and validate mathematical and computational models for scientific systems
• Solve problems involving numerical methods, differential equations, optimization, and scientific simulation
• Conduct computational physics analysis across areas such as mechanics, fluid dynamics, thermodynamics, electromagnetism, and related fields
• Model environmental systems including groundwater, surface water, hydrology, water quality, transport, and environmental processes
• Perform simulations, sensitivity analysis, parameter estimation, and uncertainty analysis
• Analyze scientific datasets and compare model predictions with experimental or observational data
• Develop and review scientific workflows using Python, MATLAB, R, Julia, or similar computational tools
• Interpret simulation outputs and identify errors, numerical instability, or unrealistic assumptions
• Work with large scientific datasets and computational models
• Prepare technical reports explaining methodology, assumptions, results, and limitations
• Review scientific literature and translate research methodologies into computational workflows
• Validate quantitative results and ensure scientific and mathematical consistencyRequired Qualifications
• Bachelor’s, Master’s, or PhD in Physics, Computational Science, Applied Mathematics, Environmental Engineering, Civil Engineering, Hydrology, Earth Sciences, or a related field
• Strong understanding of numerical methods and mathematical modeling
• Experience with scientific computing and quantitative data analysis
• Proficiency in Python, MATLAB, R, Julia, C/C++, or similar tools
• Ability to interpret equations, simulations, scientific datasets, and technical literature
• Strong analytical and problem-solving abilities
• High attention to mathematical and scientific accuracyPreferred Qualifications
• Master’s or PhD in a relevant scientific or engineering discipline
• Experience with computational fluid dynamics, finite-element methods, finite-difference methods, or numerical simulation
• Experience with hydrology, groundwater, watershed, environmental, or water-quality modeling
• Familiarity with tools such as MODFLOW, SWAT, HEC-RAS, OpenFOAM, COMSOL, ANSYS, or similar platforms
• Experience with GIS, geospatial datasets, or remote-sensing data is an advantage
• Experience with high-performance computing or large-scale scientific simulations
• Familiarity with AI/ML applications in scientific modeling is a plusWhat We Look For
• Strong mathematical and scientific reasoning
• Ability to independently investigate complex modeling problems
• Strong debugging and model-validation skills
• Ability to identify incorrect assumptions or inconsistent scientific results
• Comfortable working with equations, code, datasets, and technical literature
• Ability to communicate complex scientific concepts clearly