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* Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language
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of effectiveness for enabling or automating engineering activities. • Understanding of generative AI technologies, particularly Large Language Models and the use of prompt engineering to increase
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research for the campus Develop own research agenda based on candidate’s future goals Qualifications: PhD required with demonstrated engagement with DEIB in scholarship or coursework. Field of specialization
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, natural language processing, AI engineering, digital forgery, large language models * Thrives in a multi-disciplinary environment * Strong communication skills Desired Experience: * Experience in
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Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering, faculty members, researchers, and students
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, AI engineering, digital forgery, large language models • Thrives in a multi-disciplinary environment • Strong communication skills Desired Experience: • Experience in predictive modeling, data
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, AI engineering, digital forgery, large language models • Thrives in a multi-disciplinary environment • Strong communication skills Desired Experience: • Experience in predictive modeling, data
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-native fluency in Korean and English. PhD in Contemporary Korean Literary and Cultural studies or relevant field is required, ABD considered. Of particular interest are candidates whose research focuses
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Since its founding in 1900, Carnegie Mellon University (CMU) has been a birthplace of innovation. Ranked #1 in Computer Science and #4 in Engineering by U.S. News & World Report, CMU is
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research projects with tools, development effort, experiments, and evaluations as needed. Qualifications: B.S. in Computer Science, Information Science, Software Engineering, or a closely related field