2027 PhD Graduate - Engineer/Scientist/Analyst Sensor Systems

Do you have an interest in learning about radar and other sensor systems?Are you self-motivated and passionate about solving some of the most complex problems encountered in defending our nation?

If you are graduating with PhD in Electrical Engineering, Computer Science, Aerospace Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, Engineering Physics, Physics, Applied Physics, Applied Math, Math, or similar degrees and want to work in an exciting environment to solve challenging technical national security problems, we'd like you to join our team.

We are seeking engineers and scientists to join our Sensor Systems Group which specializes in the development and test of cutting edge sensor systems. Our team is passionate about crafting pragmatic solutions backed by analytic rigor. You will engage with a team of scientists and engineers working to develop high-impact solutions for the Nation's defense. We are committed to excellence and strive to cultivate an environment of collaboration, coordination, creativity, and initiative. We value earnest communication, technical effort, and positive mindsets. Be part of a team of talented engineers tackling national security challenges!

As a member of the Sensor Systems Group, you will help our team:

• Develop and analyze models of next generation radar and sensor systems
• Prototype novel signal processing algorithms to be deployed by our military
• Use machine learning techniques to augment current and future capabilities
• Fabricate test fixtures to support test events
• Apply data science and machine learning to complex, large scale datasets
• Test radar systems to assure that they meet requirements

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

• Have a PhD, or will have PhD in near future, in Electrical Engineering, Computer Science, Aerospace Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, Engineering Physics, Physics, Applied Physics, Applied Math, Math or another related technical field
• Have an interest in sensor systems and knowledge in Matlab, Python, C or other similar tools/languages
• Have experience in Aerospace, Hypersonics, Radar, or RF systems
• Can manage and manipulate large data sets and utilize various machine learning techniques
• Have experience scripting and coding in a variety of languages, applying signal processing, ML, stochastic processes, AI, or related subject areas to algorithm development for radar domain problems for phased arrays, dense mediums, digital radar, multi-static rada
• Have strong problem solving/analytical skills
• Have excellent verbal, written and presentation communication skills
• Can collaborate effectively with colleagues from varied subject areas and experience levels
• 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...

• Have a current Secret clearance with an ability to obtain higher-level clearances

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 athttps://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 contactAccessibility@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.