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distributions, characterize power under alternatives, and analyze automatic adaptation to intrinsic data structure. The algorithms developed will target scalability to large datasets via adaptivity without manual
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of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well. The candidate’s work will entail the development and
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agriculture (CEA) by applying artificial intelligence, computer vision, and mechatronics for hyperspectral plant monitoring. The Research Associate will contribute to developing AI-enabled systems for plant
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Transfer Partnership (KTP) to develop advanced AI capabilities that will unlock the next level of market insights in the Kids, Parents and Family sector. Employed and supported by an academic team from
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algorithms into UAV platforms. • Conduct field experiments and system validation for UAV swarm behaviors. • Prepare technical reports. Job Requirements: • Master in Electrical
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different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making
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the evaluation of converter and drive architectures for edge-resident intelligence; the development of advanced modulation, estimation and control algorithms for high-performance operation; and the integration
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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End
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generation initiative. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms
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cellular level. They involve developing analytical methods and software tools for large, domain-specific, and heterogeneous data to understand cellular processes and apply findings in medicine and