6 phd-machine-learning Fellowship positions at Singapore University of Technology & Design in Singapore
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oral and written English. Experience: Expertise in research in algorithm design and distributed network optimization using machine learning, stochastic modelling, optimization, management science, or
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machine learning and AI. Good background in blockchain and decentralized/distributed systems. Strong analytical skill. Publication records in *top* cybersecurity conferences or journals. Fluent programming
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record of research experience and publications in the area of artificial intelligence, machine learning, information extraction, and natural language processing Proven experience in the implementation and
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other team members and outside partners. Qualifications & Experiences: Master’s degree or a PhD degree in electrical engineering, computer science, computer engineering, or equivalent from a well
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. Qualification & Experience: PhD in Computer Science, Computer Engineering or related field. Demonstrated expertise in computer networks and/or software testing and/or software security and/or applied cryptography
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Fuzzing) in IoT (Wireless) networked systems; Research on IoT honeypot and threat intelligence. Qualification & Experience: PhD degree in Computer Science, Computer Engineering, or related field