MMM Postdoctoral Fellow I

About the role

UCAR is excited to announce the job opening for the Mesoscale and Microscale Meteorology (MMM) Postdoctoral Fellow role. This position will contribute to research activities within NCAR’s MMM laboratory related to developing a GPU-compatible and auto-differentiable version of the Model for Prediction Across Scales (MPAS) using a higher-level, interpreted language such as JAX. The MMM Postdoctoral Fellow will interact with NCAR scientists, staff, and other postdoctoral fellows to advance the research over the position’s one-year term, and will be encouraged to present at scientific conferences, publish scientific papers, and pursue professional development activities.

Responsibilities

• Conduct independent and collaborative research in machine learning for prediction of the Earth system or its components.
• Develop machine-learning techniques that improve 0-12 h predictions of atmospheric cloud relative existing MPAS-JEDI baseline.
• Prepare research results for publication in peer-reviewed journals.
• Present results at conferences.
• Aid with project reporting as needed.

Qualifications

• Ph.D. degree within the last 5 years or expected within the next 6 months in atmospheric science, computer science, statistics, or a related area.
• Advanced knowledge of numerical and computational techniques for fluid dynamics simulations, especially of the atmosphere.
• Advanced skills in developing and deploying computational simulations of physical systems on GPUs.
• Demonstrated ability to work independently and collaboratively as part of a research team.
• Excellent time management and organization skills.
• Demonstrated and effective written and oral communication skills.

Preferred Qualifications

• Subgrid parameterizations in computational fluid mechanics.
• Basic knowledge of physical parameterizations used in computational models of the atmosphere, or more generally subgrid parameterizations in computational fluid mechanics.
• Skill in developing efficient, scalable, and maintainable software for the simulation of physical systems.

Benefits

• Health insurance, dental, retirement plan, leave plans, tuition assistance, and employee assistance programs.
• Public Service Loan Forgiveness (PSLF) eligible employer.