Atmospheric Wind Data Assimilation Scientist (Hybrid/Remote)

Lynker Corporation; College Park (MD); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Healthcare

401(k) matching

ESOP

PTO + holidays

Bonus program

Job summary

Lynker Corporation is seeking a talented Physical Scientist to advance atmospheric wind data assimilation for NOAA’s NWS. The role involves developing methods for assimilating aircraft winds, ocean surface winds, AMVs, and space-borne lidar data, with a focus on transitioning to operations at NCWCP in College Park, MD.

Hybrid work may be possible, with potential remote considerations. The position emphasizes collaboration with OMD scientists and the JEDI project to enhance global data

Qualifications

• Background in atmospheric science, numerical weather modeling, and meteorological satellite data analysis.
• Knowledge of atmospheric data assimilation with focus on wind observations and AMVs.
• Experience working in UNIX environments with scripting.
• Experience with HPC platforms (MPI, OpenMP, Slurm, LSF).

Responsibilities

• Develop new or enhanced techniques for assimilation of atmospheric wind data and AMVs.
• Prepare, design, or enhance components to enable assimilation from future satellite missions and lidar.
• Improve quality control and observation error specification, including AI/ML approaches.
• Design, setup, and run impact assessments to facilitate transition to operations.

Skills

Atmospheric science

Numerical weather modeling

Data assimilation

Fortran

Python

C++

UNIX

English communication

Education

Tools

MPI

OpenMP

Slurm

LSF

Job description

Lynker Corporation is seeking a talented Physical Scientist to advance atmospheric wind data assimilation for NOAA’s NWS. The role involves developing methods for assimilating aircraft winds, ocean surface winds, AMVs, and space-borne lidar data, with a focus on transitioning to operations at NCWCP in College Park, MD.

Hybrid work may be possible, with potential remote considerations. The position emphasizes collaboration with OMD scientists and the JEDI project to enhance global data