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Clinical Assistant Professor, Quantitative Methods

Purdue UniversityWest Lafayette, IN, USPosted Sep 22, 2026
College ProfessorJunior
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Sep 22
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Job descriptionReq 1432448300

Job Summary

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 candidate’s 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 master’s 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 master’s 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 candidate’s experience and accomplishments. Additional information is available through Purdue University Human Resources

Minimum Requiremements

  • 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 University’s 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.

Application adn Review Process

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 https://apps.it.purdue.edu/KARS/Apply/bxGmTu2K1K

 

Review of applications will begin January 8, 2027, and will continue until the position is filled.

 

Inquiries may be directed to Professor Zhiwei Zhu (zhu816@purdue.edu) or Professor Yichen Zhang (zhang@purdue.edu), 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.

About Purdue University

As Indiana's land grant institution established in 1869, Purdue is one of the nation's 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). Purdue's Research Park is home to over 200 business start-ups, many of which originated from faculty innovations.

 

Purdue University's 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 https://www.purdue.edu/ to learn more about Purdue University.

About Daniels School of Business

Among a wide range of graduate and undergraduate degree programs, the Daniels School of Business has a very successful and highly rated master's 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 https://business.purdue.edu/ for more information about the Daniels School of Business and the Department of Quantitative Methods.

 

Purdue University is an equal opportunity/equal access university.

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Based on publicly available information, candidates applying through SuccessFactors typically begin by creating a candidate profile and submitting a résumé along with role-specific application questions. Given the wide range of position types at Purdue University, from skilled trades and campus operations to academic, administrative, and clinical roles, applicants can generally expect the process to include an online application, possible knockout or screening questions, and automated acknowledgment of submission. Review timelines and response times vary depending on department needs and hiring volume. Candidates may be contacted for phone or virtual screening, followed by one or more interview stages that could involve hiring managers, department staff, or panel discussions, particularly for specialized or higher-level roles. Reference checks and background verification are common steps prior to a final offer, though specifics can vary by position and department.“

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Clinical Assistant Professor, Quantitative Methods
Purdue University · West Lafayette, IN, US
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