ISR Sensor and Data Fusion Developer-Analyst
Introduction: The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, located midway between Baltimore and Washington, DC is seeking an ISR Sensor and Data Fusion Developer-Analyst.
Job Summary: Contribute to algorithm development, modeling, simulation, prototype software development, and performance analyses for surveillance and targeting applications and mission threads in the land, maritime, air, and space domains.
- ISR sensor exploitation and data fusion: Contribute to development of ISR sensor exploitation and data fusion algorithms and prototype software tools for detection, tracking, and classification of land, maritime, air, and space targets in a variety of tactical targeting missions. Contribute to development of new signal processing, image processing, and multi-sensor data fusion techniques. (40%)
- ISR management, optimization, autonomy, and counter-measures: Contribute to development of control, optimization, and autonomy algorithms, performance prediction models, and prototype software tools for autonomous operation, cooperative control, dynamic resource management, and optimization of ISR systems with the goals of (1) improving the performance of multi-platform sensor fusion in the land, maritime, air, and space domains; and (2) countering analogous adversary capabilities. (30%)
- ISR modeling, simulation, and performance analysis: Contribute to development of physical-mathematical-statistical models, simulation tools, analyses, and assessments of new ISR architectures, concepts, and techniques for surveillance and targeting applications. (30%)
Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.
Required Qualifications: Bachelors degree in Engineering, Applied Mathematics, Computer Science, or other related field. 1 years of relevant post-degree experience or significant internship experience in industry, consulting or academia. Skills developing scientific and engineering applications in C , Java, MATLAB, and/or similar programming languages in Linux and Windows environments. Excellent inter-personal and communication skills.
Desired Qualifications: Masters degree in Engineering, Applied Mathematics, Computer Science, or related field. 3 years of post-degree experience in industry, consulting or academia. Experience with sensor data processing, data fusion, statistical analysis, and mathematical optimization. Familiarity with data collection systems currently used by the US Military and Intelligence Community.
Special Working Conditions: Position requires working a significant portion of the time in secure, closed areas at APL; and occasional travel to Government sites and contractor facilities (local and non-local).
Security: TS/SCI Clearance is required. Applicants selected will be subject to a Government security investigation and must meet the eligibility requirements for an SSBI and access to Sensitive Compartmented Information. Preference for current SSBI. Eligibility requirements include US citizenship.
Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.
Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
Meet Some of Johns Hopkins Applied Physics Laboratory's Employees
Gianni works on the design, modeling, and simulation of low- to high-fidelity radar projects for the lab. He also conducts tests to evaluate new technologies.
Back to top