Scope: Applied Optimization, Inc., is a growing organization located in Dayton, OH adjacent to the Wright Patterson Air Force Base. We specialize in interdisciplinary research and development in the applications of astronomy and physics to the collection and analysis of electro-optical brightness data for man-made objects in space that are either too small or too far to be observed as a resolved image with telescopes. We are seeking a candidate who will be a key member of a team that collects, analyzes and implements mathematical algorithms for spatially non-resolved brightness data. The specific responsibilities of the selected candidate will be commensurate with the level of education and experience.
Major Responsibilities/Activities: (1) Develop and implement algorithms for the collection and reduction of electro-optic brightness data using ground-based telescope equipment. (2) Perform mathematical modeling to extract the distinguishing features or patterns in the brightness data. (2) Support optical engineering of new generation telescope equipment. (3) Perform optical simulations to support customer requirements. (4) Utilize first principles modeling in order to design and support verification experiments.
Requirements: (1) MS or PhD in astronomy, physics, or equivalent, with a consistently superior academic record in mathematics. (2) Theoretical knowledge and experience in the implementation of astronomical data reduction and analysis. (3) Demonstrated experience in the use of software applications such as TheSKY, Source Extractor, ZEMAX, etc. (4) Experience in the modeling, documentation, and prototyping new algorithms with limited guidance. (5) Effective oral and written communication skills. (6) Effective problem solving and debugging skills. (7) Attention to detail and effective time and schedule management skills. (8) Ability to adapt within a small team to support evolving customer requirements. (8) Ability to travel to customer sites for technical support. (9) US Citizenship or a green card.
Additional desirable qualification: (1) A minor in computer science or computer engineering. (2) Experience or academic proficiency in C++ programming and aptitude for algorithm implementation. (3) Aptitude for the collection of brightness data on astronomical objects using telescopes. (4) Knowledge of geometrical optics and the phenomenology of visible or infrared brightness data. (5) Knowledge of Newtonian dynamics principles for the orbits of celestial objects. (4) Eligibility to obtain a Department of Defense security clearance.