Senior Researcher

Overview

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division develops, adapts, and applies cutting‑edge autonomy research to solve real‑world problems based on physics‑based modeling and simulation. Algorithmic areas of interest include AI/ML, controls theory, sensor signal processing (especially radar and EO/IR), tracking, optimization, and resource allocation.

Application domains include manned air platforms (e.g., the F‑35 Joint Simulation Environment), unmanned air platforms, and space assets, primarily for the Air Force, Navy, and DARPA research programs.

• Design, develop, and modify cutting‑edge machine learning and other algorithms to conduct studies and form conclusions for autonomy and other challenges.
• Create, expand, upgrade, and maintain algorithms in software.
• Design, develop, validate, and manage large‑scale simulations and simulation tools.
• Contribute to comprehensive technical reports and presentations for government customers, articulating the implications of simulation findings on national security.

• Ability to obtain a Secret (S) level security clearance; U.S. citizenship required.
• BS +5 years’ experience, MS +3 years’ experience, or Ph.D. in Electrical Engineering, Physics, Applied Mathematics, or a related field.
• Strong programming skills in C/C++, Python, or MATLAB; preferable Linux experience.
• Experience or interest in at least two of the following: machine learning, algorithm development, modeling & simulation, optimization, controls, signal processing, tracking, electronic warfare, resource allocation.
• Strong technical writing and communication skills.
• Active Secret or TS/SCI clearance.
• Experience with mission simulators such as AFSIM, NGTS, or physics‑based simulators such as XPatch or Crisp.
• Experience with machine learning tasks such as image recognition, deep reinforcement learning, semantic segmentation, graph neural networks, and tools such as PyTorch, Tensorboard, and Ray.
• Experience writing proposals and/or giving briefings to both highly technical and less technical audiences.

STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), marital status, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by federal, state, or local laws.

If you need a reasonable accommodation for any portion of the employment process, contact us at appassist and provide your contact information.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.