2027 PhD Graduate - Distributed Tactical Awareness

Johns Hopkins Applied Physics Laboratory•Laurel, MD

4d•Onsite

About The Position

The U.S. Navy and Joint Forces face increasingly dangerous and complex threats, including autonomous vehicles, sophisticated anti-ship missiles, and ballistic missiles. To defend sailors and marines from these threats, we in the Distributed Tactical Awareness and Decision-Making Group work to solve command and control challenges related to sensor integration, information fusion, and distributed kill chains. We are seeking engineers, physicists, mathematicians, and computer scientists to join our team to research, develop, and analyze innovative solutions to emerging warfighter challenges. As a new member of the Distributed Tactical Awareness and Decision-Making group, you will seek to understand and improve algorithms underpinning sensor data fusion, combat planning, management, and optimization decisions, and weapon system employment. You will simulate scenarios to assess system performance and identify areas for improvement. You will parse warfighter needs in conjunction with scholarly literature to prototype tactical algorithms. You will analyze data from live test events to directly inform engineering decisions. You will collaborate with cross disciplinary teams and share your work both externally and internally. You will have opportunities to visit Navy ships and to work with sailors, officers, and other warfighters.

Requirements

Have a PhD or equivalent Doctorate degree in Engineering, Mathematics, Physics, Computer Science or equivalent
Are proficient with C++, Java, Python, MATLAB, or similar programming languages
Are comfortable applying mathematics, especially probability and statistics
Like to work both independently and as part of a team
Have good written and oral communication skills
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.

Nice To Haves

Have a background in physics (RF physics and/or Optics preferred)
Have experience with Kalman filtering, sensor fusion, or tracking
Have worked with machine learning methods and algorithms
Hold an active SECRET (or above) clearance

Responsibilities

Seek to understand and improve algorithms underpinning sensor data fusion, combat planning, management, and optimization decisions, and weapon system employment
Simulate scenarios to assess system performance and identify areas for improvement
Parse warfighter needs in conjunction with scholarly literature to prototype tactical algorithms
Analyze data from live test events to directly inform engineering decisions
Collaborate with cross disciplinary teams and share your work both externally and internally
Have opportunities to visit Navy ships and to work with sailors, officers, and other warfighters