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2026 PhD Graduate - Radar, Machine Learning, Signal Processing, Data Science
Laurel, MDMarch 31st, 2026
DescriptionAre you interested in applied R&D?
Do you enjoy working in a creative environment, as part of a varied team of engineers, physicists, and computer scientists?
Do you want to play a critical role in the defense of our country - at sea and at home - from advanced missile threats?We are seeking highly motivated PhD graduates in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Computer Science (CS), Physics, or a similar technical degree.We are particularly interested in self-guided, creative problem-solvers who can develop into future technical leaders for our research performed for the US Navy and other DoD sponsors.As a member of our team, you will...
Participate in live radar testing and analyze recorded data to gain insights into system performance, particularly with regard to environmental effects/physics.
Develop and apply detailed, physics-based simulations written in Java, C/C++, Matlab, and Python.
Learn and creatively apply machine learning, signal processing, and data science to real-world problems that no one else has previously solved.
Develop novel instrumentation and algorithms for understanding RF propagation effects by directly measuring, recording, and analyzing RF signal measurements.
Learn, apply skills, and advance the state of the art in our core technology areas of: signal processing, electromagnetics, software development, and boundary-layer meteorology.
Develop skills to lead technical teams toward common goals.
Directly communicate your results to sponsors and contractors to guide the directions of DoD programs toward technical success.QualificationsYou meet our minimum qualifications for the job if you...
Have a PhD degree in EE, ECE, CS, Physics, or a similar technical field, with an GPA above 3.5.
Are familiar with Python, Matlab, or equivalent, or have had some exposure to modern development process (git, GitLab, Jira, or equivalent).
Have a strong understanding of, and interest in, machine learning, data science, signal processing, and/or electromagnetic theory.
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret 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.
You'll go above and beyond our minimum requirements if you...
Also have cross-discipline technical degrees, including minors, in EE, ECE, CS, Physics in addition to a PhD.
Have radar or RF research experience (hardware, antennas, remote sensing, tracking, etc.)
Have internship experience related to DoD research, DoD contractors, or the advanced-technology industry.About UsWhy 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.Minimum Rate$105,000 AnnuallyMaximum Rate$245,000 Annually
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