2026 PhD Graduate - Next Gen Image Processing/Sensing

Johns Hopkins Applied Physics Lab

Laurel (MD)

On-site

USD 105,000 - 245,000

Full time

14 days+

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Benefits offered by this job

Robust education assistance program
Generous retirement contributions
Healthy work/life balance

Job summary

Johns Hopkins Applied Physics Lab in Laurel, Maryland is looking for a PhD physicist to develop algorithms for next-generation radio frequency sensor systems. Responsibilities include deriving requirements and analyzing performance of advanced sensors, collaborating with multidisciplinary teams, and developing high-fidelity simulations. Candidates must have a PhD in a relevant field and proficiency in MATLAB, C++, or Python. The role offers a competitive salary range of $105,000 to $245,000 annually along with comprehensive benefits.

Qualifications

  • PhD required in relevant field.
  • Knowledge of simulating or analyzing infrared or visible signals.
  • Ability to obtain a Secret clearance and ultimately beyond Top Secret.

Responsibilities

  • Derive requirements and analyze performance of advanced sensor systems.
  • Develop and test simulations of sensors and environments.
  • Collaborate with teams in air and missile defense.

Skills

MATLAB
C++
Python
Research in sensor systems
Written and oral presentation skills

Education

PhD in electrical engineering, applied math, physics, computer science or related field

Job description

Do you love solving crucial, real-world problems related to sensor systems? Are you a curious and active learner who just want to know why? If so, we’re looking for someone like you to join our team!

We are seeking a PhD physicist, mathematician or engineer to help us develop algorithms and assess the performance of the next generation of radio frequency sensor systems for land, air, and sea‑launched interceptors. You’ll influence the development of powerful sensor algorithms. Dedicated teams have opportunities to tackle vital missile defense challenges. We strive to cultivate an environment of creativity and collaboration and value finding sophisticated solutions to hard problems.

Responsibilities
  • Your primary responsibility will be to derive requirements, perform trade studies, and analyze the performance of advanced sensor systems.
  • You will develop, implement, test and verify high‑fidelity, physics‑based simulations of sensors and environments.
  • You will act as APL's representative with sponsors and contractors and will collaborate with multidisciplined teams to solve difficult problems in air and missile defense.
Qualifications

You meet our minimum qualifications for the job if you:

  • Possess a PhD in electrical engineering, applied math, physics, computer science, or a related field.
  • Are knowledgeable or have research in one or more of the following: simulating or analyzing infrared or visible signals, environments or sensors.
  • Are proficient in one or more of the following programming languages: MATLAB, C++, or Python.
  • Have practiced written and oral presentation skills.
  • Have the willingness to travel up to 15% of the time as needed.
  • Are able to obtain a Secret clearance by your start date and can ultimately obtain clearance beyond Top Secret. 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 experience with imaging seekers or missile systems.
About Us

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.

Minimum Rate: $105,000 Annually.

Maximum Rate: $245,000 Annually.

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