Location: Littleton, CO
Company: Virtualvocations
Research and Development (R&D) jobs involve creating new products, improving existing ones, or developing innovative solutions and processes within various industries. The roles are typically characterized by a strong focus on innovation, problem-solving, and continuous learning, as individuals in R&D must keep abreast of cutting-edge technologies and scientific advancements. These positions can range from laboratory researchers, development engineers, to product developers, and are essential for companies looking to stay competitive by bringing novel ideas to market. R&D professionals often work in teams, engage in creative thinking, and are crucial in driving the future growth of their organizations.
Research & Development (R&D) jobs involve the creation of new products, solutions, or knowledge, contributing to advancements in technology, science, and medicine. These roles are characterized by innovation, experimentation, and problem-solving. Professionals in R&D are often experts in their fields and work in a variety of settings, from laboratories and universities to corporate environments. They drive progress by designing experiments, gathering data, and developing prototypes to bring theoretical concepts into practical use. R&D is critical for industries seeking to maintain a competitive edge and to continuously improve their offerings.
Research & Development (R&D) jobs involve creating new products or improving existing ones through innovative processes. Professionals in these roles conduct experiments, analyze data, and turn concepts into practical solutions. R&D is pivotal in industries such as pharmaceuticals, technology, and engineering, and is characterized by a focus on innovation, problem-solving, and continuous learning. R&D positions often require advanced education and a strong foundation in scientific or technical disciplines. These roles are essential for driving progress and maintaining competitive edges in marketplaces.
Design and run V&V efforts of astrodynamics algorithms used at Space C2 centers (e. g. 18 SPCS and NSDC) Assist in validation of SSN, non-traditional, commercial space surveillance sensor data Analyze algorithm deficiencies and identify possible mitigation procedures and/or replacement algorithms at both the C2 and sensor end of the SSA enterprise Develop prototype algorithms to solve operational SSA/SDA problems.
Set up Design of Experiments to analyze potential TTP improvements and/or alternative methods employed at the C2 or Sensor sites Provide SSA Mission area analysis and backssments for space C2 and sensor systems Provide numerical validation of SSA C2 system algorithms and sensor
data V&V to support SSA Ops Acceptance (OA) decisions Technical lead for integration/OA of traditional/non-traditional sensors and data sources Support Ops Concept/TTP development Develop/maintain Enterprise-wide astrodynamic software to ensure SSA system interoperability Provide subject matter expertise to solve technical operational issues Research and develop algorithms and/or methods to improve SSA performance Analysis support for requirements development, Ao As, Ao Os, MUAs, etc.
as required Required Skills and Experience: Active Top-Secret Clearance with SCI Eligibility Master of Science degree in operations research or a theoretical science field 5+ years of experience Experience
with astrodynamics software Strong quantitative and analytic abilities to integrate and analyze data High motivation, creativity, and flexibility to work in a dynamic environment Ability to work well as part of a team
Earth. Conduct observational data analysis that supports model validation. Incorporate additional physical schemes into numerical models. Develop and grow an independent research program through external program support. Participate in mission and instrument proposals to support the strategic growth of the Department.
Daily and Monthly Responsibilities: Independently develop and implement hypotheses-driven numerical model and data analysis activities; Configure, initialize, run, and analyze atmospheric numerical models of Earth, Mars, Titan, and other terrestrial planetary atmospheres to test hypotheses. Evaluate model results for physical consistency and plausibility; identify interesting,
new, or otherwise noteworthy results; place results in the context of prior investigations. Analyze observational data sets to validate and verify model results, identify model deficiencies, and identify observed phenomena that are appropriate targets for numerical model investigation.
Actively seek and apply for external support of research activities. Lead or participate in mission and spaceflight instrument proposals. Participate and contribute to Planetary Atmosphere group meetings. Present and disseminate research results at professional meetings and conferences. Submit manuscripts to peer-reviewed journals. Requirements: Requires a Ph D in Atmospheric Science, Planetary Science,
Geophysical Science, or directly related field. 2 years: Post Ph D experience with demonstrated knowledge and application of the principles of atmospheric dynamics and thermodynamics to terrestrial planetary (e.
g. Earth, Titan, Mars, Pluto, Venus, Earth-like Exoplanets) atmospheres. Expertise in the FORTRAN programming language in the Linux operating system environment. Proficiency with Python, MATLAB, IDL, or similar applications for analysis of observational data and very large model data sets. Knowledge and experience with one or more planetary atmosphere modeling codes (e. g. Planet WRF, Mars RAMS, Titan RAMS, NASA Ames GCM) or demonstrated experience with similar complex fluid dynamical codes.
Ability to debug code, test code, and implement new physics is helpful. Familiarity or interest in version control tools (e. g. Git) and parallel coding libraries MPI/MPICH. Experience or desire to contribute to space instrumentation and/or planetary mission concept development PDN-9ab994d4-106c-48c3-918f-83d466dbc214
