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acceleration hardware. Strong theoretical background in AI, neural networks, and machine learning and emerging nanotechnologies is also required to synergize with hardware new architecture and concepts
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/Associate Professor level, however, candidates with exceptional experience can be considered at the full professor level. The candidate is expected to teach and conduct research, play an active role in
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quantitative methods with applied research, including the use of Machine Learning, Data Science, and computational tools to address contemporary economic questions. The applicant must build a diverse research
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service through community engagement. Key Responsibilities: Research & Scholarship - Leading a world-class research program in artificial intelligence, machine learning, data science, and their implications
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experience in said or related field; Teaching experience preferred in said or related discipline; English proficiency is a must. Candidates will teach but not be restricted to the above-mentioned courses