Global Aerosol Data Assimilation Scientist

Lynker Corporation•College Park, MD

15h

About The Position

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. Lynker is seeking a highly-skilled and experienced candidate to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in the cutting-edge research, development, and operational transition of the Global Chemistry Analysis and Forecast System (GCAFS) aerosol data assimilation (DA) within the Unified Forecast System (UFS) framework. The candidate's work will focus on the scientific advancement and successful implementation of the GCAFS aerosol DA system. The ideal candidate will be an expert in the Joint Effort for Data Assimilation Integration (JEDI) framework, advanced computational science, and sophisticated data assimilation principles to enhance the performance, stability, and future development of the GCAFS system. The candidate will perform their job duties to a high standard, working both independently and collaboratively, focusing on scientific developments that advance GCAFS within the JEDI framework and ensure a smooth transition to operation.

Requirements

Expert knowledge of the physical and mathematical basis of geophysical modeling.
Advanced knowledge and hands-on experience with the Joint Effort for Data Assimilation Integration (JEDI) framework.
Experience with Python and associated libraries used for data analysis in geosciences.
Advanced knowledge and experience of modern programming languages such as object-oriented FORTRAN and/or C++.
Experience in model testing and evaluation and/or knowledge of verification principles.
Experience working in a UNIX environment with advanced scripting languages
Experience with high-performance computing (HPC) environments and technologies such as MPI and OpenMP.
Ability to work independently and in a team environment on complex problems.
Good oral and written communication skills in English.

Nice To Haves

Knowledge of DA application to aerosols and atmospheric chemistry
Knowledge of aerosol modeling, model physics and emissions tuning.
Knowledge of Earth observing systems used for aerosols and chemistry.
Knowledge of modern software engineering practices (version control, integration, testing, and documentation).
Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
Demonstrated skill in performing tasks requiring organization and attention to detail.

Responsibilities

Lead the advancement and tuning of the JEDI-based GCAFS aerosol DA system
Design, develop, and maintain advanced DA algorithms in the GCAFS system, focusing on key aerosol species
Conduct comprehensive, long-term cycling data assimilation experiments
Advance the use of observations and quality control in GCAFS.
Improve data assimilation and observation diagnostics for GCAFS.
Rigorously evaluate GCAFS aerosol analysis and forecast results against independent data, including CAMS, MERRA2 reanalyses.
Investigate and resolve GCAFS model and DA issues, using data analysis tools to identify the cause of issues.
Advance global workflow for GCAFS, ensuring readiness for both retrospective and real- time experiments.
Assist in the operational transition of the GCAFS aerosol DA system

Benefits

Comprehensive healthcare for the employee at no monthly cost
Healthcare benefit covers medical, prescription drug, dental, and vision
Personal Time Off (PTO) Policy plus paid holidays
Highly competitive compensation plan regularly calibrated against industry and location benchmarks
401(k) retirement plan with company-matching
Employee Stock Ownership Plan (ESOP) – we're all company owners!
Flexible spending accounts
Employee assistance program (EAP)
Short- and long-term disability insurance
Life and accident insurance
Tuition assistance/Training/Workforce improvement reimbursement per year
Spot bonuses for exceptional performance
Annual Employee Recognition Awards with bonuses
Employee Referral Program
Free centralized, self-directed Learning Management System to learn at your own pace
Personalized career growth plans for every employee