• Your primary responsibility will be to lead and contribute to teams developing algorithms, mathematical-physical models, and prototype software for ISRT and BMC2 applications.
• You will lead and contribute to teams developing new signal processing, image processing, multi-sensor data fusion, and multi-sensor resource optimization techniques.
• You will lead and contribute to teams developing new modeling, simulation, and analytical methods and tools.
• You will lead and contribute to teams developing and analyzing new ISRT concepts and architectures.
• You will lead and contribute to field tests and experiments, including planning, execution, and data analysis.
• You will document and present the team’s results to managers, sponsors, and technical workshops and conferences.

• Have at least a Bachelor’s degree in engineering, applied mathematics, computer science, physics, or another related field
• Have at least seven years of relevant experience in a technical field.
• Have expertise in some of the following areas: remote sensing, signal and image processing, data fusion, statistical analysis, mathematical optimization, pattern recognition, machine learning, and artificial intelligence.
• Have skills and experience developing engineering applications in programming languages such as MATLAB, Python, C++, and Java and in Linux environments.
• Have domain knowledge in ISR processes, systems, platforms, and sensors used by the US military and intelligence community; Navy and Air Force kill chain concepts; targeting, C2, and mission planning processes and tools; threat systems, weapon platforms and systems, and communications networks.
• Have strong inter-personal and written communications skills.
• Have skills and experience leading teams and complex technical efforts.
• Have the ability to work and collaborate effectively in a team environment.
• Have the ability to multi-task, support multiple, concurrent projects, and adapt to changing circumstances.
• Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
• Hold an active Top Secret security clearance and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

• Have a Master's or Doctorate degree in engineering, applied mathematics, computer science, physics, or another related field.
• Have at least ten years of work experience in a relevant technical field.
• Hold an active TS/SCI-level security clearance.

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.