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Orion Space Solutions, an Arcfield Company, is seeking a Research Scientist to quickly integrate with existing teams of scientists and engineers on a variety of programs for government and other customers.
Job Responsibility:
Maintain and upgrade data assimilative models that nowcast and forecast the ionosphere
Develop tools to validate the output of space environment models
Utilize remotely sensed and in situ observations of the space environment from ground-based and spaceborne platforms
Develop techniques to enhance space domain awareness using ionospheric measurements
Work with teams of scientists, engineers, and program management to develop software tools intended for eventual transition to operations
Be responsible for software and accompanying technical documentation for program deliverables
Contribute to reports, proposals, and publications
Present work internally, to customers, and at technical conferences
Career level with a complete understanding and wide application of technical principles, theories and concepts
Working under only general direction, provides technical solutions to a wide range of difficult problems. Independently determines and develops approach to solutions
Plans and coordinates activities concerned with investigating and resolving customers' reports of technical problems with products and services
Evaluates new technologies for application in improving design of commercial models and applications. Plans, coordinates, directs, and evaluates testing of space environment models and applications
Performs risk assessment of aerospace systems and generates risk mitigation plans and strategies
Requirements:
BS 5-7 Years, MS 3-5, PhD 0-2
Degree in physics, engineering, applied mathematics, or similar field
Must have the ability to obtain and maintain a TS/SCI clearance
Strong background in physics, statistics, and linear algebra
Strong skills in Python-based development
Experience with using Linux
Experience with scientific computing and data science libraries in Python (numpy, scipy, scikit-learn, etc.)
Familiarity with scientific data formats (netCDF, HDF5, etc.)
Understanding of software development best practices
Willingness to learn new concepts in plasma physics, space situational awareness, radio frequency sensing, and beyond
Understanding of the theory and application of digital signal processing
Strong written and verbal communication skills
Nice to have:
PhD. in physics, engineering, applied mathematics, or similar field
Background in data assimilation
Experience with GNSS remote sensing (radio occultation, reflectometry, etc.)
Experience with HF sounding of the ionosphere
Experience in Docker or similar
Experience in cloud computing
Familiarity with space mission design
What we offer:
Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Short Term and Long-Term Disability
Retirement and Savings
Learning and Development opportunities
wellness programs as well as other optional benefit elections