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that enable multi-aircraft teaming, distributed decision-making, and safe autonomy. Key responsibilities: • Lead and support the design, development, integration, and verification of complex autonomous
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algorithms for reinforcement learning, imitation learning, and meta-learning with application to adaptive flight control and navigation; Designing distributed learning algorithms for multi-agent coordination
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order to be given further consideration as candidates: Education PhD in Aerospace Engineering, Mechanical Engineering, Robotics Engineering, Computer Science, Electrical Engineering, Systems Engineering
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university specializing in Electrical, Electronics, Computer, Systems, or Aerospace Engineering. Master’s Degree from a recognized university specializing in Electrical, Electronics, Computer, Systems, or
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: Education Bachelor’s degree in an accredited* Electrical Engineering program. *An accredited engineering program consist of studies in engineering leading to a bachelor’s degree (or higher level) that
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infrastructure systems such as roads, watermain distribution, storm and sanitary systems, and fire protection systems. Experience managing grounds maintenance services, including snow removal, vegetation