Clinical Assistant Professor, Quantitative Methods

About this position

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Summary</b></H2> </div><div><p>The Daniels School of Business at Purdue University invites applications for a <strong>clinical assistant faculty position in the Department of Quantitative Methods</strong> beginning in Fall 2027. The position is non-tenure track and promotable to higher academic ranks.</p> <p> </p> <p>The successful candidate’s responsibilities will include a combination of the following:</p> <p> </p> <ul type="disc"> <li><strong>Developing instructional materials and teaching and coordinating undergraduate courses</strong> in data and analytics, such as Business Statistics, Management Science, Data Mining, Machine Learning, Predictive Analytics, Advanced Spreadsheet Modeling, and emerging AI topics including generative AI, large language models, and agentic AI.</li> <li><strong>Developing and supervising experiential learning courses and projects</strong> for students in the undergraduate programs, and representing the Department of Quantitative Methods in existing program management and new program development within the school.</li> <li><strong>Developing and teaching graduate-level quantitative methods and analytics courses</strong> for residential master’s programs and the Online Master of Science in Business Analytics (Online MSBA) program.</li> <li><strong>Mentoring students in their academic and professional development</strong>, including the development of analytical capabilities and preparation for careers in business analytics and related fields.</li> <li><strong>Engaging with academic and business communities</strong> to stay current with emerging developments in business analytics and AI; collaborating with relevant professionals and organizations; and translating these developments into timely and relevant curricula and student learning experiences.</li> </ul> <p> </p>

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