About The Position

The Department of Industrial Engineering & Industrial Management in the School of Engineering at Mercer University invites applications for a tenure-track faculty position at the rank of Assistant Professor to begin Fall 2027. We encourage applications from candidates with teaching and research interests in industrial engineering. We are especially interested in candidates with expertise in operations research, artificial intelligence, machine learning, data-driven decision-making, and emerging technologies. To be considered for a tenure-track position, candidates must have a Ph.D. in industrial engineering or closely related fields. Areas of emphasis should align with the department’s strengths in optimization, simulation, and supply chain, and should include one or more of the following: artificial intelligence, machine learning, data-driven decision-making, financial engineering, and emerging technologies. The Department of Industrial Engineering & Industrial Management offers undergraduate and graduate programs that prepare students for careers in industrial Engineering, Industrial Management, and Engineering Management involving, design, improvement, and installation of integrated systems of people, material, information, equipment, and energy. The discipline draws upon specialized knowledge and skills in the mathematical, physical, and social sciences, together with the principles and methods of engineering analysis and design to specify, predict, and evaluate the results to be obtained from such systems. Because of the need for people skills, the Mercer program places a heavy emphasis on working as a team and working on real industrial engineering problems from neighboring communities. The development of skills required to work with and through other people results in many industrial engineers rising through the ranks of management to the top of technical companies. The industrial specialization at Mercer draws upon four foundational areas—management science, the application of mathematical techniques to solve management problems; ergonomics, the study and design of the interaction between humans and machines; manufacturing, the design and development of processes and systems to transform inputs to products; and quality, the application of statistical methods and managerial principles to improve the quality of products and services. This broad base provides industrial specialization students at Mercer with a solid and varied background.

Requirements

  • A PhD in industrial engineering or a closely related field from an accredited institution is required by the time of appointment.
  • Evidence of strong potential for excellence in teaching
  • Expertise in one or more of the areas listed above (artificial intelligence, machine learning, data-driven decision-making, financial engineering, and emerging technologies)
  • Ability to teach effectively at the undergraduate level
  • Ability to teach graduate students, including in online or technology-supported environments
  • Ability to work collaboratively in a collegial department
  • Familiarity with current and emerging professional tools, practices, and technologies relevant to the field
  • An interest in engaging contemporary developments in optimization, systems engineering, and emerging technologies

Responsibilities

  • Teach undergraduate and graduate courses in the department’s programs
  • Contribute to service and support courses for the School of Engineering
  • Teach in face-to-face, hybrid, and online environments as needed
  • Maintain an active agenda of scholarship, creative activity, and/or professionally engaged work
  • Contribute to curriculum development and revision in areas such as optimization, systems engineering, artificial intelligence, machine learning, data-driven decision-making, and emerging technologies
  • Advise and mentor students
  • Support student engagement in applied, research, and professional development opportunities
  • Participate in departmental, school, and university service, including assessment and committee work
  • Contribute to a team-oriented academic culture

Benefits

  • Comprehensive health insurance (for self and dependents)
  • Generous retirement contributions
  • Tuition waivers
  • Paid vacation and sick leave
  • Technology discounts
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