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# Support Scientist for Earth System Model Physics/Hydrology Development

- **Company:** Axiom
- **Location:** Berwyn Heights, MD, United States
- **Salary:** $70,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Unix, Fortran (Programming Language), Github, Python (Programming Language), Machine Learning, Object-Oriented Software Development, OpenMP, Shell Script, Software Organization, Model Validation, Git, Slurm, Surface Modeling, Recurrent Neural Networks, Programming Languages
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c958c9728dcaecb8

## About the Role

* General knowledge of earth system modeling with demonstrated experience in developing land model parameterizations
 * Experience with a broad range of hydrologic process models, including 1-D/3-D lakes, river routing, surface inundation and groundwater
 * Experience with machine learning methods relevant to land surface modeling, including but not limited to long short-term memory (LSTM) and Transformers
 * Experience in land/lake/hydrology model evaluation, data post-processing and statistical analysis including accuracy and uncertainty analysis, especially at the land process level
 * Familiarity with modern software development practices, particularly the GitHub/Git version control software and environment
 * Advanced skills and knowledge of modern programming languages and object-oriented languages, such as Fortran and Python
 * Experience working in a UNIX environment with advanced shell scripting languages and familiar with running complex jobs

Desired:

 * Experience with large-scale datasets of land surface properties for use as model inputs and model evaluation
 * Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
 * Demonstrated ability to work efficiently in a team environment and communicate effectively using good oral and written communication skills.

## Description

The candidate will perform the job duties in an independent, collaborative and initiative way, applying innovative methods for the primary work areas. The candidate will work with others on the forecast system improvements for transition-to-operations, and will also work with external collaborators to develop and improve physics parameterizations for use within the Unified Forecast System framework.