Mesonet Post-Doctoral Researcher

Deploy and maintain a high-resolution weather modeling system for generating real-time forecasts

· Use Louisiana mesonet data to test how the observations improve the model’s initial conditions to lead to improved weather forecasts

· Verify and validate model forecast output against LSM observations to evaluate forecast skill and identify areas for improvement over time

· Generate real-time forecasts of precipitation and soil moisture, backed by mesonet observations, across the Lower Mississippi River basin region

· Document model configurations, data assimilation workflows, and operational procedures to ensure continuity of the forecasting system

· Collaborate with the mesonet team, partners, and other stakeholders to turn ideas into possible model output and/or additional applications

· Any other duties as needed at the request of the Mesonet Executive Director

Doctoral degree in Meteorology, Atmospheric Science, or a related technical discipline

· Experience deploying and running high-resolution numerical weather prediction models to generate real-time forecasts, preferably including MPAS

· Experience with data assimilation

· Familiarity with Linux and high-performance computing (HPC) environments, including job scheduling and operational workflow management

· Strong problem-solving skills, ability to work in a collaborative environment, and a desire to learn new technologies are a must

· Excellent oral and written communication skills

· A record of high-quality, peer-reviewed publications

· Proficiency in Python or equivalent scripting languages for model implementation, output analysis, and data visualization

· Ability to work a flexible schedule

To apply please submit a cover letter, CV/resume, and a completed ULM application for employment.

Interested candidates are encouraged to reach out to Dr. Todd Murphy at murphy@ulm.edu before submitting a full application.

Salary : $75,000