2027 PhD Graduate - Engineer/Analyst for ISRT and BMC2 Applications

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

The Johns Hopkins University Applied Physics Laboratory (APL) seeks a PhD-level engineer, scientist, mathematician, or programmer to research, develop, test, assess, and field capabilities for Intelligence, Surveillance, Reconnaissance, and Targeting (ISRT) and Battle Management Command and Control (BMC2). The team transforms ISRT and BMC2 concepts into operational kill-chain and counter-kill-chain capabilities by integrating modeling and analytics, software interfaces and DevOps, operations and threat characterization, rapid prototyping, and integrated testing and experimentation. It develops interoperable, end-to-end autonomous and distributed architectures and evaluates them in realistic Joint All-Domain Command and Control (JADC2) test environments and field experiments to support technology transition and military operations in contested environments. The role may involve developing algorithms, mathematical and physical models, software prototypes, and deployable applications; using mission-level modeling and simulation to assess concepts, sensor architectures, and kill-chain performance; advancing multisensor fusion and resource optimization; planning and analyzing field tests and experiments; and collaborating on user interfaces, visualizations, and network or web services. The position also presents results to project leads, sponsors, and technical audiences. The role requires the ability to work part of the time in secure, closed areas, travel occasionally to government and contractor facilities, and ultimately obtain a Top Secret SCI-level clearance. Eligibility for access to classified information includes U.S. citizenship. APL describes a comprehensive benefits package and places its campus in the Baltimore-Washington metro area.

Requirements

Have or be soon to be awarded a PhD in Engineering, Applied Mathematics, Computer Science, Physics, Data Science, or a related field.
Skills and experience developing scientific and engineering applications using programming languages such as MATLAB, Python, C++, or Java.
Strong interpersonal and written communication skills.
Ability to work and collaborate effectively in a team environment.
Ability to multitask, support multiple concurrent projects, and adapt to changing circumstances.
Willingness and ability to work part of the time in secure, closed areas and travel occasionally to local and non-local government sites and contractor facilities.
Ability to ultimately obtain a Top Secret SCI-level security clearance; eligibility for classified access includes U.S. citizenship.

Nice To Haves

Significant internship experience in a relevant technical field.
Skills and experience implementing complex modeling and simulation scenarios and analyzing results.
Skills and experience developing software from conceptualization to fully functional applications.
Skills and experience with test and evaluation techniques at unit, bench, system, and system-of-systems levels.
Technical expertise in sensor and data fusion, RF physics and sensors, EO/IR sensors, resource management, communications networks, statistical analysis, mathematical optimization, multi-target tracking, or similar areas.
Domain knowledge of ISR processes and systems, platforms, and sensors used by the U.S. military and intelligence community; Navy and Air Force kill-chain concepts; targeting, C2, and mission-planning processes and tools; threat systems; weapon platforms and systems; or communications networks.
Experience or interest in supporting field experimentation and test events and working with military operators and warfighters.
Active Secret, Top Secret, or TS/SCI-level security clearance.

Responsibilities

Contribute to teams developing algorithms, mathematical-physical models, software prototypes, and deployable software applications for ISRT applications.
Use mission-level modeling and simulation tools to evaluate and improve ISRT and BMC2 concepts, sensor architectures, and kill-chain performance.
Develop multisensor data-fusion and multisensor resource-optimization techniques.
Develop and analyze ISRT and BMC2 concepts and architectures.
Plan and conduct field tests and experiments, including data analysis.
Collaborate with teams to develop user interfaces, visualizations, and network or web services.
Present results to project leads, sponsors, and technical workshops and conferences.