Demo

Assistant/Associate Professor of Engineering

METHODIST UNIVERSITY INC
Fayetteville, NC Other
POSTED ON 2/9/2025
AVAILABLE BEFORE 4/8/2025

Job Details

Job Location:    Methodist University Location - Fayetteville, NC
Position Type:    Full Time Faculty
Salary Range:    Undisclosed

Description

The Department of Engineering in the Division of Engineering and Environmental invites applications for a tenure track position as Assistant/Associate Professor. The department seeks a candidate with teaching and/or research experience in industrial and systems engineering, as well as the ability to supervise undergraduate student research.

Candidates with backgrounds in all areas of industrial and systems engineering are encouraged to apply. Preference will be given to those with teaching and research backgrounds/interests in operations research, statistics, data analytics, and/or engineering management. Candidates should possess the ability to teach a variety of undergraduate engineering and industrial engineering classes, including

  • Probability and statistics,
  • Operations research,
  • Engineering management,
  • Engineering economy, and
  • Data analytics.

Faculty members are expected to teach in the Methodist University core curriculum, mentor students, and participate in institutional service and the academic governance of the department, college, and university.

Additionally, faculty members are encourage to develop and maintain research projects involving undergraduate students.

We seek candidates whose teaching, research, and/or service has prepared them to address engineering in the context of social responsibility, contribute to our ongoing efforts at engagement and inclusion of culturally diverse audiences in STEM and higher education, support departmental efforts to improve student career readiness, and add to ongoing efforts to increase the preparation, retention, and persistence of students in STEM.

 

Academic rank and salary are commensurate with level of education as well as professional and academic experience. Candidates should be interested in curriculum design and assessment.  

 

 

Application Materials:

Candidates will initially submit the following:

(1) cover letter summarizing interests and qualifications;

(2) curriculum vitae;

(3) teaching statement describing teaching experience and philosophy, the teaching and learning pedagogies utilized, and also describe how your experience will support your teaching of our courses.

(4) statement of research interests describing potential research projects involving undergraduate students in any area of industrial and systems engineering and your ability to mentor undergraduate research projects in these areas.

 

(5) A concise equity and diversity statement about teaching or other experiences, successes, and challenges in working with a diverse student population

 

(6) contact information for three references.

Application review will begin immediately and will continue until the position is filled. This position is conditional based upon budgetary approval. Anticipated start date is August 2025.

 

For inquiries, contact Dr. Densie Bauer (dbauer@methodist.edu), Engineering Program Director and Head of the Engineering and Environmental Studies Division. All applications should be submitted through the Methodist University Human Resources site: http://www.methodist.edu/positions-available.

 

 

Methodist University is an equal opportunity employer and encourages members of traditionally under-represented groups to apply. Methodist University is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC). 

Qualifications


Minimum Qualifications:

  • Ph.D. in Industrial Engineering, Industrial and Systems Engineering, or a closely related field by the start date.
  • Teaching and/or research experience in the areas of operations research, statistics, and/or data analytics.
  • Commitment to inclusive pedagogy and teaching excellence.
  • Ability to teach Operations Research, Engineering Economy, Engineering Probability and Statistics, Data Mining, and Data Analytics.
  • Ability to guide and mentor student research in engineering-based projects.

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