Assistant Professor of Instruction - Quantitative Methods and Economics
Indexed description
Quantitative methods and business statistics are required core courses for every business student, and they are among the most consequential courses the Department teaches. We are looking for a colleague whose primary commitment is to undergraduate teaching and who can teach quantitative material well to students arriving with varied preparation. There may also be opportunities to teach in the College's MBA program and in the Department's STEM-designated MS in Economics with Data Analytics.
- Teach primarily undergraduate courses in quantitative methods and business statistics, and courses in economics as needed. Depending on qualifications, teaching may include master's-level courses in the MBA program and the MS in Economics with Data Analytics.
- Contribute to curriculum development and assessment in the quantitative core, including coordination across multiple sections and instructors.
- Attain and maintain AACSB faculty qualification as a Scholarly Academic (SA) or Practice Academic (PA) in accordance with the College's faculty qualification standards.
- Serve on departmental and college committees and participate in community outreach.
Job Requirements
- A terminal degree (PhD or DBA) in economics, statistics, finance, or a closely related quantitative field. Candidates who are ABD will be considered provided the degree is completed by the appointment date.
- Demonstrated capacity for effective instruction in quantitative coursework.
- Excellent interpersonal and communication skills, and the ability to work productively with students from a wide range of backgrounds.
- Terminal degree from an AACSB-accredited institution.
- Prior experience teaching business statistics, econometrics, or quantitative methods at the undergraduate level, with documented evidence of teaching effectiveness.
- Competence with statistical and data analytics software used in instruction (e.g., R, Python, Stata, Excel).
- Demonstrated competence in the instructional use of artificial intelligence tools, including their use in course and assessment design and in preparing students to apply AI appropriately to quantitative analysis.
- Experience with online or hybrid course delivery, multi-section coordination, or assessment of learning.
- Capacity to contribute to graduate instruction in data analytics.
The University of Texas at El Paso is an Equal Opportunity Employer. The University does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, genetic information, veteran status, or sexual orientation and gender in employment or the provision of services in accordance with state and federal law. Discrimination on the basis of sex includes an employee's or prospective employee's right to be free from sexual harassment under Title IX of the Higher Education Amendments of 1972. Inquiries-including the filing of a Formal Complaint or reporting an incident-about the application of Title IX may be referred to the Title IX Coordinator, who can be reached by phone at (915) 747-8358, by email at [email protected], or by mail at 500 W. University Ave., El Paso, TX, Kelly Hall, Room 312.
For accommodation information for employees and applicants with disabilities, please contact UTEP's Equal Opportunity Office at [email protected].
To the extent that this position involves research, work, or access to critical infrastructure as referenced in Executive Order GA-48, being hired for and continuing to be employed in this position requires the ability to maintain the security or integrity of the infrastructure.
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