Numerica's Research Scientists excel at developing state-of-the art algorithms and software that solve scientific problems with real-world applications. Working in small innovative teams, our research scientists build solutions that make a difference. Our research endeavors don’t end once we’ve written a journal or conference paper describing our technology; rather, our work is complete when our technology has been deployed in mission-critical systems and our customers within government and industry are successful. As science fiction writer Arthur Clarke wrote, “Any sufficiently advanced technology is indistinguishable from magic.” Therefore, Numerica is seeking talented “magicians” to join in our common struggle of expanding the boundary of what’s possible.
What You Will Do:
Research Scientists in Astrodynamics support Numerica’s growing program in Space Situational Awareness (SSA) and work on projects that carry varying responsibilities, such as:
Contribute to the direction of a talented small team with your expertise and ideas;
Develop state-of-the-art algorithms to support advanced SSA capabilities in multi-target tracking, sensor tasking and scheduling, maneuver processing, anomaly detection, and conjunction analysis;
Evaluate and improve algorithm runtime and performance using real-world data and/or high-fidelity simulated data in a rapid prototyping environment;
Develop robust software implementations of prototype code and support transitions to space operations centers;
Engage with our customers to ensure successful outcomes for their mission-critical needs;
Prepare technical reports with theoretical developments and experimental results;
Support proposal-writing activities.
RECOMMENDED BACKGROUND AND EXPERIENCE
A Research Scientist in Astrodynamics at Numerica should possess an M.S. or Ph.D. in Aerospace Engineering, Applied or Computational Mathematics, Electrical Engineering, Computer Science, or a related field with a strong background in mathematics and statistics.
A Research Scientist in Astrodynamics should have a record of academic excellence, including demonstrated experience in most of the following areas:
Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;
Engineering: controls, estimation theory, signal/image processing, and machine learning;
Scientific Computing: software design, algorithm prototyping and implementation in Matlab, Python, C/C++ or Java;
Probability: statistics and random processes;
Astrodynamics: orbit determination and estimation, orbital propagation, orbital maneuvering, force and torque models, coordinate and time systems, observation transforms and sensor systems, initial orbit determination
A Research Scientist in Astrodynamics should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike.
U.S. Citizenship Required
Due to the nature of the work performed at Numerica, all applicants must be capable of obtaining a U.S. Security Clearance. At a minimum, this requires that a candidate be a U.S. citizen with a personal history indicating trustworthiness, reliability, and sound judgment (e.g., clean criminal record, no use of illegal drugs, etc.).
Visit us at www.numerica.us to apply online, explore our published papers, and learn about how you can put your talent to excellent use at Numerica, expanding the boundary of what’s possible for our customers, colleagues, and nation.
Numerica Corporation, based in Loveland, Colorado, with a development office in Pasadena, CA, applies leading edge algorithm design and development, computational science, modeling and simulation, systems engineering, and software design and implementation to provide “first principle” based research, development, software, and technical consulting solutions for our client’s most complex scientific... challenges. Founded on our patented and award-winning multi-sensor tracking technology, Numerica’s diverse capabilities include: tracking & surveillance, optimization, information fusion technology, estimation theory, control systems and scientific software design & development. Our leading team of experts is committed to providing sound science and ensuring quality transition and integration, from concept development through successful operation.