Job Title: Lecturer
Location: Atlanta, Georgia
Regular/Temporary: Regular
Full/Part Time: Full-Time
Job ID: 230197
About Us

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with great economic and cultural strengths. The Institute is a member of the University System of Georgia, the Georgia Research Alliance, and the Association of American Universities. Georgia Tech prides itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion (DEI). Georgia Tech has policies to promote a healthy work-life balance.

Department Information

The H. Milton Stewart School of Industrial and Systems Engineering (ISyE) has achieved national and international prominence through its tradition of unparalleled excellence and leadership in research, education, and service. This distinction is due to ISyE's world-class faculty, top-notch students, outstanding curricula, and extensive research focusing on improving quality of life.

Job Summary

The H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech in Atlanta, Georgia invites applications for two non-tenure track faculty positions in the Lecturer track (rank commensurate with level of experience and title contingent on degree of the candidate).

The lecturer will be responsible for teaching and curriculum support in the area of industrial engineering. Responsibilities will include but are not limited to:

• Teaching 3.5 class sections in each of the fall and spring semesters and two sections in the summer semester. These may include classes at both the undergraduate and graduate level. Candidates are expected to adopt innovative educational practices as they develop and teach undergraduate and graduate courses.
• Advise and mentor students.
• Assist with development and management of the school's curriculum.
• Contribute to local and external service activities.

We are especially interested in candidates with expertise and strong teaching interests in analytics/machine learning; data science/statistics; optimization; applied probability/ simulation; and industrial engineering applications.

Required Qualifications

Applicants must possess a Ph.D. in Industrial Engineering, Operations Research, Statistics, or a related field, and possess excellent verbal and written communication skills.

Required Documents to Attach

Interested individuals should submit the following application materials: 1) cover letter; 2) curriculum vitae, 3) a teaching statement addressing their teaching and advising/mentoring philosophy; 4) a statement addressing their understanding of, prior engagement in, and plans for future activities to support diversity, equity, and inclusion; 5) teaching portfolio and summary of teaching evaluations; sample syllabi; and 6) contact information for three professional reference letters.

Contact Information

For questions regarding this posting please contct Dawn Strickland at dawn.strickland@isye.gatech.edu. The review process will commence immediately and will continue until the positions are filled.

Equal Employment Opportunity Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests.

Background Check

A standard enhanced background check must be completed prior to employment.