Job Description

Are you passionate about using machine learning to analyze and interpret data from imaging sensors?  Are you searching for substantial work leveraging applying emerging machine learning techniques to solve challenging problems in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR), geospatial remote sensing, and multi-modal data fusion?

If so, we're looking for someone like you to join our team at APL.

We are seeking a scientist or engineer to help us advance the state of the art in the processing, exploitation, and dissemination of non-optical imaging technologies, both in SAR ATR and AI-driven signal processing for SAR data. As a member of our team, you'll contribute to projects interested in leveraging the unique strengths of technologies like SAR for challenging problems and environments. You will be joining a highly collaborative team of engineers and scientists who thrive on creating innovative solutions, testing those solutions, and integrating them into existing architectures. 

As a non-optical imaging engineer, you will ...

• Implement, test, and validate algorithms for ATR.
• Drive strategy for developing the next generation of AI-driven SAR processors.
• Apply your expertise of the principles, theories, concepts, and techniques of all aspects of SAR to deliver highly complex solutions and systems.
• Work in a team environment along with imaging practitioners in a fun, open environment.
• Create and evaluate novel datasets to enable the development, training, testing, and validation of state-of-the-art machine learning models.
• Design, execute, and analyze tests to verify and validate specific ATR solutions.
• Collaborate with other algorithm developers, signal processing experts, and system integrators for multimodal solutions to challenging ATR problems.
• Present research and findings to sponsors, academia, and industry via briefings, conference proceedings, and journal articles.

You meet our minimum qualifications for the job if you...

• Possess a Master’s Degree in electrical engineering, computer engineering, applied math, or another field relevant to the duties as described above.
• Have a minimum of four years of experience working with algorithms associated with processing, exploitation, and dissemination (PED) of non-optical imaging products.
• Have trained models to interpret SAR imagery and other geospatial remote sensing data sets.
• Are skilled in implementing algorithms from mathematical concepts and creating code in a collaborative development environment.
• Have analytical experience and technical breadth in a wide variety of operational and technological issues, as well as strong organizational and planning skills. Significant experience in MATLAB, Python, and/or C++ programming languages.
• Hold an active Secret security clearance and can ultimately obtain a TS/SCI 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.

You'll go above and beyond our minimum requirements if you...

• Have a Ph.D. in electrical engineering, computer engineering, applied math, or similar field.
• Are skilled in the understanding of SAR (both from a conceptual hardware perspective, as well as a signal processing perspective), in the analysis of SAR data products.
• Have first-hand experience with SAR systems, including commercial airborne or spaceborne systems.
• Have first-hand experience in handling large satellite data sets for geospatial remote sensing tasks.
• Have first-hand experience in working with multispectral or hyperspectral datasets.
• Have interest in exploring advanced algorithms for hyperspectral imaging.
• Have first-hand experience with other non-optical imaging systems, such as computer-aided tomography (CAT) or magnetic resonance imaging (MRI).
• Are willing and able to travel for data collection and system testing, along with possible visits to sponsor sites.
• Have significant experience in MATLAB, Python, and/or C++ programming languages.

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 http://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 Accommodations@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.

*Please mention you saw this ad on HigherEdWorldwide.*

Apply Now