40 learning-"https:"-"https:"-"https:"-"https:" positions at University of Rhode Island
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directly online only at: (https://jobs.uri.edu) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded No Extension Contingency Notes The positions are part-time (15
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excellence in teaching and its academic units create learning experiences that stress the free and rigorous pursuit of knowledge, intellectual curiosity, respect for differences across cultures and
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, sciences, and social sciences. The college is committed to excellence in teaching and its academic units create learning experiences that stress the free and rigorous pursuit of knowledge, intellectual
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, sciences, and social sciences. The college is committed to excellence in teaching and its academic units create learning experiences that stress the free and rigorous pursuit of knowledge
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accessible learning environment (max. 3 pages) (as one complete document). Posting Information Position Number 109695 Posting Number F00530 Posting Date 10/13/2026 Closing Date Open Until Filled Yes Quicklink for Posting https://jobs.uri.edu/postings/17181
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Disability, Access, and Inclusion Contact(s) Please note: Job applications must be submitted directly online only at: ( https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands
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Disability, Access, and Inclusion Contact(s) Please note: Job applications must be submitted directly online only at: ( https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands
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, nationally and internationally recognized research program in one or more of the following areas: manufacturing systems; advanced manufacturing operations; optimization; simulation; learning and
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areas such as statistical modeling, machine learning, intensive longitudinal data analysis, micro-randomized trial design, natural language processing, Al applications in digital health, and real-world
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particularly interested in candidates with strong methodological expertise in areas such as statistical modeling, machine learning, intensive longitudinal data analysis, micro-randomized trial design