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innovative ML/AI algorithms for time series with chaotic shocks and contribute to the team’s research on autonomous vehicle security. Applicants must have a Ph.D. degree (or equivalent) in applied mathematics
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demonstrate experience and excellence in systems or tool building, algorithmic thinking, and research. The ability to program in Python, C, and other frameworks is a must. Comfort with declarative programming
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algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained embedded AI/ML systems like autonomous vehicles, UAVs, Robotics, smart
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design and performance analysis, Proven track record
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others (but not limited to): Computer Organization and Architecture, Data Structures and Algorithms, Computer Programming for Engineers, Object Oriented Programming, Digital Logic and Advanced Digital