Lecturer and/or Course Designer, Integrate Artificial Intelligence and Machine Learning into Information Technology and Cloud Computing Certificates

About this position

This job profile is only for faculty members hired to complete a short-term and/or part-time academic work assignment, such as teaching one or more courses for one or two academic terms. Wage Faculty (Adjunct) may only be paid via Period Activity Pay. The School of Continuing and Professional Studies (SCPS), University of Virginia (UVA) seeks applications for one or more non-tenure track, part-time (faculty wage) lecturer position(s) to support the instructional design, (re)development, and delivery of courses in artificial intelligence (AI), machine learning (ML), and applied cloud-based AI technologies as part of Cloud Computing Undergraduate Certificate, Information Technology Undergraduate Certificate, and forthcoming AI and ML coursework. SCPS is hiring multiple positions to assist in updating existing courses and to develop new courses, with special attention to addressing AI- and ML-related learning outcomes. All courses are delivered in online three-credit courses at either the undergraduate or graduate level. Responsibilities may include reviewing and updating learning outcomes, aligning and building refreshed or new course content, developing assignments and assessments, supporting hands-on labs, and teaching or co-teaching live online undergraduate and/or graduate course sessions. For lecturer teaching assignments, the ability to lead engaging, interactive sessions online (primarily on Zoom) and in person is essential. Education Qualifications Required: • A graduate degree (master’s degree or higher) in computer science, engineering, data science, information systems, or a closely related field is required. Preferred: • Relevant AI, ML, data science, or cloud certifications (e.g., AWS, Azure, Google Cloud, or equivalent) are preferred. Experience Qualifications Required: • At least three (3) years of professional experience in artificial intelligence, machine learning, data science, or cloud-based analytics. This includes experience building, depl

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