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projects, from conception to deployment; (b) drive the deployment of robust, scalable and agile AI solutions within large-scale enterprise environments across key industry verticals (e.g., finance
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, such as artificial intelligence (AI) and big data. The candidate should have a proven ability to work on cross-disciplinary social science topics and a strong interest in exploring AI, society, and social
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/ AIoT Security; Computer Vision; Computing & Big Data Systems; Data Analytics & Technologies; Data Privacy; Digital Forensics; FinTech; Generative AI; Large Language Models; Theoretical Computer Science
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Neural Networks (SNNs); (c) have strong proficiency in PyTorch programming and model development; and (d) possess a basic understanding of brain-inspired learning methods and Large Language Models
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a skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning techniques to analyze
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background in Computer Architecture and Systems, Operating Systems and Compilers, Artificial Intelligence and Big Data Analytics, and Information Security. Other areas of interest include Software
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the research project - “Large language models for computational social science and FinTech applications”. He/She will be required to: (a) study and investigate the fundamental problem for identifying
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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) and Artificial Intelligence (AI). The Department envisions to cultivate a comprehensive curriculum that encompasses key research pillars such as Big Data Analytics and Management, Machine Learning and
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in several areas of theoretical and computational physics including, but not limited to, statistical physics (including AI related physics) and large-scale simulation of quantum many-body systems