Clinical Assistant Professor, Quantitative Methods

The Daniels School of Business at Purdue University invites applications for a clinical assistant faculty position in the Department of Quantitative Methods beginning in Fall 2027. The position is non-tenure track and promotable to higher academic ranks.

The successful candidates responsibilities will include a combination of the following:

• Developing instructional materials and teaching and coordinating undergraduate courses 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.
• Developing and supervising experiential learning courses and projects for students in the undergraduate programs and representing the Department of Quantitative Methods in existing program management and new program development within the school.
• Developing and teaching graduate-level quantitative methods and analytics courses for residential masters programs and the Online Master of Science in Business Analytics (Online MSBA) program.
• Mentoring students in their academic and professional development including the development of analytical capabilities and preparation for careers in business analytics and related fields.
• Engaging with academic and business communities 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.

The position carries an annual workload of 18 credit hours of teaching (approximately six undergraduate sections or nine masters sections) and 9 credit hours of service. Service responsibilities may contribute to the administration operation and development of the department the Daniels School of Business Purdue University and the profession. Clinical faculty are also expected to engage proactively with businesses professional organizations and other external communities relevant to their disciplines.

Salary and compensation are highly competitive and commensurate with the candidates experience and accomplishments. Additional information is available through Purdue University Human Resources

• A Ph.D. or M.A./M.S. in Quantitative Methods or a related field with demonstrated teaching experience at the college level. The degree must be completed before the first day of Purdue Universitys Fall 2027 semester.
• Evidence of teaching effectiveness such as student course evaluations or other documentation of successful college-level instruction.
• Evidence of experience developing organizing and/or supervising experiential learning projects programs or events.
• Familiarity with current AI methods and tools and an interest in incorporating emerging AI capabilities into analytics education.
• Strong communication and interpersonal skills with the ability to work effectively with students faculty colleagues program administrators and external stakeholders.

Applications should include a curriculum vitae a teaching statement and available evidence of teaching effectiveness. Applicants should also submit the names and email addresses of three references through of applications will beginJanuary 8 2027 and will continue until the position is filled.

Inquiries may be directed to Professor Zhiwei Zhu () or Professor Yichen Zhang () Daniels School of Business Purdue University 403 Mitch Daniels Blvd. West Lafayette IN 47907 USA.

A background check is required for employment in this position.

As Indianas land grant institution established in 1869 Purdue is one of the nations leading public research universities. Located in West Lafayette IN Purdue offers a great work and living environment. As a college town West Lafayette is centrally located to several major business centers including Indianapolis (1 hour) Chicago (2 hours) Cincinnati (3 hours) Louisville (3 hours) Columbus (3.5 hours) and St. Louis (4 hours). Purdues Research Park is home to over 200 business start-ups many of which originated from faculty innovations.

Purdue Universitys vision is to be at the forefront of advancing Data Science-underpinned research and education by providing faculty and students with an integrated Data Science-fluent campus ecosystem. It is home to a large number of world-class faculty engaged in fundamental research and applications of Data Science Machine Learning and Artificial Intelligence. Please visit to learn more about Purdue University.

Among a wide range of graduate and undergraduate degree programs the Daniels School of Business has a very successful and highly rated masters program in Business Analytics & Information Management (MS BAIM) and an online Master of Science in Business Analytics. These programs are directed by faculty members from the Department of Quantitative Methods. The department also collaborates with the Krenicki Center for Business Analytics & Machine Learning. Please visit for more information about the Daniels School of Business and the Department of Quantitative Methods.

Purdue University is an equal opportunity/equal access university.