Associate Researcher at STR in Woburn, MA

Summary: Systemstechnologyresearch focuses on advanced sensor systems and platforms in support of national security. The Associate Researcher will conduct research and development of autonomy capabilities, particularly in AI/ML and simulation to solve complex national security challenges. Responsibilities: - 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 Required Qualifications: - Ability to obtain a Security Clearance at the Secret (S) level, for which U.S citizenship is needed by the U.S government - BS in Electrical Engineering, Physics, Applied Mathematics, or related field - Good programming skills in one or more scientific programming languages such as C++, Python, or MATLAB and familiarity with object-oriented concepts - Experience or interest in machine learning (e.g., image recognition) and scientific computing (e.g., Linux, git, bash, CI/CD, etc.) - Strong technical writing and communication skills Preferred Qualifications: - Active Secret or TS/SCI clearance - Experience or awareness of the defense industry - Experience with reinforcement learning, physics-based simulation, or mission simulators (such as AFSIM or NGTS) - Experience giving briefings to both highly technical and less technical audiences Required Skills: Machine learning, Scientific programming languages - C++, Scientific programming languages - Python, Scientific programming languages - MATLAB, Object-oriented programming, Scientific computing - Linux, Version control - git, Scripting - bash, Continuous integration/continuous deployment (CI/CD), Physics-based simulation, Reinforcement learning, Mission simulators, Peer leadership