About this opportunity
The Johns Hopkins University Applied Physics Laboratory lists this 2027 PhD Graduate - Applied Algorithms Engineer opportunity in laurel, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Description
Do you love developing creative solutions to challenging problems?
Are you passionate about using innovation and advanced technologies to solve to some of our country's critical challenges?
If so, we're looking for someone like you to join our team at APL!
We are seeking innovative and highly talented PhD Graduate candidates to join our group, which specializes in advanced research and program of record activities for rapid capability advancements. In particular, you will conduct systems analysis, identify gaps, and develop novel concepts to revolutionize defensive capabilities for the U.S.A. You will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning (AI/ML) techniques, object tracking and discrimination, data fusion concepts, etc. in support of a wide variety of defense systems. You will be joining a hardworking team of engineers and scientists who are passionate about developing high-impact solutions at the forefront of APL's mission to provide innovative solutions to critical challenges in the area of missile defense.
As a member of our team...
You will conduct research and development activities related to U.S. Missile Defense systems.
You will assist in the development, testing, and analysis of new concepts related to sensing, engagement, and fire control.
You will implement algorithms and design modeling and simulation components of systems.
You will develop AI/ML-based concepts and technical solutions to solve challenging problems.
You will apply novel data fusion and tracking concepts for object tracking and discrimination applications.
You will analyze simulation outputs and translate results into clear insights for the research sponsor.
You will deliver presentations to technical staff, program leadership, and government sponsors.
You will develop prototype capabilities and work with partner organizations to transition ideas to fielded systems.
Qualifications
You meet the minimum requirements for the job if you...
Possess or will soon be a PhD in Math, Computer Science, Physics, Electrical Engineering or a related field.
Are detail-oriented with strong analytical and problem-solving skills.
Have familiarity with probabilistic algorithms and numerical methods
Have programming experience with MATLAB, C++, Python, or other high-level programming languages.
Are highly self-motivated to dig into data to root cause issues and to understand system performance.
Have the ability to work both independently and as part of a larger team, as well as effective collaboration skills with other teams and contractors.
Are able to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain Top Secret/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
You'll go above and beyond our minimum requirements if you...
Have knowledge, experience and interest in working with AI/ML technologies and MLOps practices.
Have domain knowledge of Navy, Missile Defense Agency, Space Force, or Air Force 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
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 .
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
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.