PhD Graduate - Senior Engineer-Analyst ISR Scientific

Overview

2026 PhD Graduate - Senior Engineer-Analyst for ISR Scientific Applications. Join to apply for the 2026 PhD Graduate - Senior Engineer-Analyst for ISR Scientific Applications role at Johns Hopkins Applied Physics Laboratory.

Base pay range: $/yr - $/yr. This range is provided by Johns Hopkins Applied Physics Laboratory. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Description

Are you interested in researching, developing, and analyzing innovative ways to produce impactful information from many different types of sensors and sources of data?

Would you like to advance your ideas from concept to prototype to field testing on US military ships, aircraft, satellites, and ground systems?

Would you enjoy developing advanced capabilities that will be used by US military personnel to achieve their missions in Intelligence, Surveillance, Reconnaissance, and Targeting?

If so, and if you are graduating with a Doctorate degree in a technical field, we would love to have you join our team at APL!

We are seeking creative engineers, scientists, mathematicians, and programmers to conceptualize, develop, test, assess, and field the next generation of ISRT and Counter-ISRT capabilities for the US military. Our team applies disciplines such as sensor and data fusion, signal and image processing, operations research, applied physics, machine learning, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments.

Our work enables the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improves the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupts the ability of potential adversaries to threaten our forces.

As a Senior Engineer/Analyst for ISRT Scientific Applications,

• Your primary responsibility will be to lead and contribute to teams developing algorithms, mathematical-physical models, software prototypes, and deployable software applications for ISRT applications.
• You will lead and contribute to teams developing new signal processing, image processing, multi-sensor data fusion, and multi-sensor resource optimization techniques.
• You will lead and contribute to teams developing new modeling, simulation, and analytical methods and tools.
• You will lead and contribute to teams developing and analyzing new ISRT concepts and architectures.
• You will lead and contribute to field tests and experiments, including planning, execution, and data analysis.
• You will document and present your and the team’s results to project leads, sponsors, and technical workshops and conferences.

• Have a Doctorate degree in engineering, applied mathematics, computer science, physics, or other related field.
• Have skills and experience developing scientific and engineering applications in programming languages such as MATLAB, Python, C++, and Java and in Linux environments.
• Have strong inter-personal and written communications skills.
• Have the ability to work in a team environment.
• Have the ability to multi-task, support multiple, concurrent projects, and adapt to changing circumstances.
• Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
• Are able to obtain a Top Secret /SCI level security clearance. If selected you may start with your clearance processing and 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.

• Have had a Postdoc work experience, or significant internship experience, in a relevant technical field.
• Have skills and experience implementing complex mathematical techniques (such as neural networks and other machine learning approaches) in software applications.
• Have skills and experience developing software…