Physical Scientist for All-sky and All-surface Radiance Satellite Data Assimilation

Lynker Technologies; College Park (MD); Sur place; USD 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

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Résumé du poste

Lynker Technologies seeks a Physical Scientist for All-sky and All-surface Radiance Satellite Data Assimilation in the DC area. The role supports the NWS Office of Modeling and Development to advance data assimilation for the Unified Forecast System using CRTM.

The position offers a hybrid schedule (2 days in College Park, MD office and 3 days remote) and requires expertise in data assimilation, radiative transfer, HPC, and modern programming languages (Fortran, Python, C++), with UNIX scripting

Qualifications

• Experience in data assimilation for numerical weather prediction.
• Knowledge of geophysical modeling physics and atmospheric models.
• Radiative transfer modeling for data assimilation (CRTM or RTTOV).
• Experience with UNIX, scripting, and modern programming languages.

Responsabilités

• Develop all-sky/all-surface satellite radiance assimilation techniques.
• Improve QC, bias correction, and observation error specs using AI/ML.
• Design, setup, and run impact assessments for pre-implementation testing.
• Collaborate with OMD scientists and JEDI for integration.

Connaissances

Fortran

Python

C++

UNIX scripting

HPC concepts

Outils

CRTM

Description du poste

Lynker Technologies

Physical Scientist for All-sky and All-surface Radiance Satellite Data Assimilation

Job ID: 2026-1698

Type: Full-Time

# of Openings: 1

Location: College Park, MD

Overview

Lynker is looking for a Physical Scientist for All-sky and All-surface Radiance Satellite Data Assimilation to support the Office of Modeling and Development (OMD) of the National Weather Service (NWS) in carrying out research, development, and operational transition work related to satellite data assimilation for operational applications of the Unified Forecast System (UFS). The candidate’s work will involve the development, execution, testing, and evaluation of innovative techniques to enhance the direct assimilation of “all-sky/all-surface” satellite radiances for use in operational environmental prediction capabilities at OMD. The Ideal Physical Scientist for All-sky and All-surface Radiance Satellite Data Assimilation, will be local to the DC Metro area, and be able to work a hybrid schedule, working 2 days per week in office out of the College Park, MD location, and working from home the remaining 3 days of the week.

Responsibilities

The Physical Scientist for All-sky and All-surface Radiance Satellite Data Assimilation will perform the job duties in a collaborative environment, assisting developing and applying innovative methods for the primary work areas described below. The candidate will work with OMD scientists and external collaborators to develop innovative all-sky/all-surface satellite radiance data assimilation capabilities for use in applications of the UFS, with emphasis on global medium range numerical weather prediction. In particular, the candidate will utilize the Community Radiative Transfer Model (CRTM). The work will leverage and contribute to the Joint Center for Satellite Data Assimilation, including the Joint Effort for Data assimilation Integration (JEDI) project.

• Develop new or enhance existing techniques for the assimilation of microwave radiance data made by prototype and operational low Earth orbit satellites such as the Arctic Weather Satellite (AWS) in all sky conditions and over heterogeneous surface conditions.
• Improve upon quality control, bias correction, and/or observation error specification, including through the use of AI/ML techniques, to enhance the assimilation of all-sky/all-surface satellite radiance data and AMVs.
• Design, setup, and execute impact assessment and pre-implementation testing to facilitate transition to operations.
• Other duties as assigned.

Qualifications

• Knowledge of data assimilation with focus on the assimilation of satellite data for numerical weather prediction.
• Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction models.
• Advanced knowledge of radiative transfer and experience with radiative transfer modeling for data assimilation, such as the Community Radiative Transfer Model (CRTM) or Radiative Transfer for TOVS (RTTOV).
• Knowledge and experience of modern programming languages such as object-oriented FORTRAN, Python, and/or C++.
• Experience working in a UNIX environment with advanced scripting languages.
• Good oral and written communication skills in English.

Ideal Candidate

• Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
• Familiarity with variational data assimilation techniques.
• Familiarity with the assimilation of satellite radiances impacted by clouds and precipitation.
• Experience with coupled earth system models.
• Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation).

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions.

Benefits

• Personalized career growth plans for every employee

Equal Opportunity Employment

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

Equal employment opportunity, including veterans and individuals with disabilities.