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                Job Posting Title: R&D Software Engineer ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt 
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                spectral analysis. Contribute to algorithm development and software improvements through fundamental and applied research, prototyping, validation, integration, etc. Support performance evaluations and the 
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                . Responsibilities Identify, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking 
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                , research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking and sorties. Design 
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                Laboratory (SISL) is seeking a motivated individual to support research and development tasks relating to software development, algorithmic development and data analytics for RF networks. This may include 
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                &D Signal and Information Processing Software Developer will support software development and integration of real-time mid-frequency active sonar processing capabilities, including algorithm design 
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                seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include 
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                , array data, propagation data. Develop processing algorithms and assess their performance. Interpret results. Implement research grade software and analysis tools in Matlab including underwater 
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                Learning in a broad sense. Particular areas of interest include, but are not limited to, development and analysis of machine learning models for scientific computing, theory and algorithms for sampling 
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                exhaustive list. This search is being conducted jointly by the Oden Institute and the Department of Statistics and Data Sciences as part of a campus-wide commitment to expanding the development of AI