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theories in inverse/scattering problems. Once successful, the candidate is expected to transfer his expertise to machine learning/scientific computing in collaborations with other group members (phd students
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: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and knowledge in at least one or preferably more of the following fields: Cybersecurity, Deep
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Intelligence, Machine Learning, Natural Language Processing, or a closely related discipline. Demonstrated expertise in Large Language Models (LLMs), Natural Language Processing, Efficient Deep Learning, AI
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machine learning, particularly at the intersection with control, dynamical systems, and ODE/PDE theory Collaborate with the research team on ongoing projects, exchanging ideas and insights, and contributing
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, Signal Processing, Machine Learning, or a related field. An advanced degree (eg. Masters/PhD or equivalent) is preferred. Research background in Deep Learning, Large Language Models (LLMs), or Large
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, such as scientific computing and scientific machine learning, and promote interdisciplinary collaboration among the disciplines of mathematics, computer science, and engineering. Candidates with strong
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: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and knowledge in at least one or preferably more of the following fields: Cybersecurity, Deep
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Engineering, Computer Engineering, Computer Science, AI, Data Science, or a closely related discipline. Strong research background in machine learning, optimization, AI systems, or data analytics. Experience
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evaluate computer vision and machine learning algorithms empirically. Author research articles at an international level for peer-reviewed conferences. Engineer software based on the research outcomes
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of machine learning/deep learning for signal processing and receiver design is desirable. Experience with SDR platforms, particularly Ettus USRP devices, and GNU Radio/UHD development is an advantage. Strong