Associate Algorithm & Signal Processing Researcher at STR · Woburn

Summary: STR is a technology company specializing in advanced research and development for defense and national security. The role involves developing state-of-the-art algorithms and techniques for signal detection and classification, working on RF sensing challenges, and integrating countermeasures into systems. Responsibilities: - Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges - Work with the team to develop and integrate countermeasures (including algorithm development and signal processing) and evaluate their effectiveness in laboratories, over the air, and on government test ranges - Design and implement models and simulations for advanced RF systems - Analyze test data and apply results to refine system models Required Qualifications: - Ability to obtain an active Secret security clearance, for which U.S. citizenship is required by the U.S. Government - Bachelor's Degree in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline with 0-2+ years of relevant experience - Experience in two or more of the following areas: RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, algorithm development, model & simulation - Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ - Strong mathematical, troubleshooting, written, and verbal communication skills Preferred Qualifications: - Active Secret or TS/SCI Clearance - Advanced degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline - Experience with RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced ESM techniques and algorithms - Experience with machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow - Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems - Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations Required Skills: RF/radar signal processing, machine learning, algorithm development Important Skills: MATLAB, Python, C/C++ Nice-to-Have Skills: troubleshooting, written communication, verbal communication