Employment Opportunities

Assistant Professor Specializing in Business Analytics and Operations and Supply Chain Management

Apply now Job No: 502790
Work Type: Faculty Full Time
Location: Dayton, OH
Categories: Faculty
Department: Dept of MIS, OM & Decision Sciences - 209330
Advertised:
Applications close:

Position Summary:

NOTICE OF THE FILING OF

AN APPLICATION FOR PERMANENT EMPLOYMENT CERTIFICATION UNDER THE U.S. DEPARTMENT OF LABOR’S LABOR CERTIFICATION PROCESS

 This Notice is being provided as a result of the filing of an application for permanent alien labor certification for the following job opportunity:

Position Title: Assistant Professor Specializing in Business Analytics and Operations and Supply Chain Management

Position Requirements: The candidate must have a Ph.D. in Business Analytics, Operations and Supply Chain Management, or a closely related discipline. A.B.D. (all but dissertation) in Business Analytics, Operations and Supply Chain Management, or a closely related discipline is acceptable. The candidate must also demonstrate experience teaching business analytics, operations management, or supply chain management at the university level, as well as potential for excellence in research.

Position Duties:  The job duties of the position are as follows: (i) teach quantitative undergraduate and graduate courses in Management Information Systems, Operations and Supply Chain Management, and Business Analytics; (ii) publish articles in major academic journals; and (iii) perform service to the department, University, and academic community.

Name of Employer:                    The University of Dayton

Scheduled Work Hours:             This is a full-time, academic position with typical work hours ranging from 8:30 a.m. to 4:30 p.m.

Location of Employment:           300 College Park, Dayton, OH 45469

To apply, please submit the following: a cover letter that addresses all of the minimum qualifications; CV; and contact information for three professional references that will be contacted later in the process.

ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION TO THE CERTIFYING OFFICER OF THE U.S. DEPARTMENT OF LABOR HOLDING JURISDICTION OVER THE LOCATION OF PROPOSED EMPLOYMENT AT THE ADDRESS BELOW:

 

U.S. Department of Labor Employment and Training Administration

Office of Foreign Labor Certification 200 Constitution Avenue NW, Room N-5311

Washington, DC 20210

This Notice is being provided in accordance with 20 CFR §656.10(d), under the Optional Special Recruitment Process as described under 20 CFR §656.18, et seq.

Minimum Qualifications:

The candidate must have a Ph.D. in Business Analytics, Operations and Supply Chain Management, or a closely related discipline. A.B.D. (all but dissertation) in Business Analytics, Operations and Supply Chain Management, or a closely related discipline is acceptable. The candidate must also demonstrate experience teaching business analytics, operations management, or supply chain management at the university level, as well as potential for excellence in research.

Preferred Qualifications:

N/A

Special Instructions to Applicants:

To apply, please submit the following: a cover letter that addresses all of the minimum qualifications; CV; and contact information for three professional references that will be contacted later in the process.

Posting closes at 11:55 PM

Closing Statement:

The University of Dayton is a top tier, Catholic research university with offerings from the undergraduate to the doctoral levels. Founded in 1850 by the Society of Mary, the University is a diverse community committed to advancing the common good through intellectual curiosity, academic rigor, community engagement and local, national and global partnerships. Guided by the Marianist educational philosophy, we educate the whole person and link learning and scholarship with leadership and service.

Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, women, protected veterans, individuals with disabilities, or on the basis of age, race, color, national origin, religion, sex, sexual orientation or gender identity. 

 

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