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Assistant Professor

University of North Carolina at Charlotte
Charlotte, USA
Full-time
Entry
Onsite
Discovered 2 weeks ago
RPython

Full Job Posting

Responsibilities

  • The Industrial and Systems Engineering Department ( ISE ) at UNC Charlotte is seeking candidates for an 9-month tenure-track Assistant Professor (Pos 4416) with an expected start date of August 2027. A successful candidate will teach undergraduate and graduate courses in engineering management (e.g., project management, supply chain management), systems engineering, operations research, data analytics, and artificial intelligence applications; contribute to curriculum development; and mentor undergraduate and graduate students. The candidate is expected to establish and maintain an active, high-impact, and externally funded research program that complements and supports multidisciplinary research efforts in healthcare, manufacturing and supply chains, energy, and transportation and advanced mobility.
  • Research expertise may include systems modeling and decision analysis, forecasting, machine learning, optimization, reliability, simulation, and related analytical and computational methods. The department is particularly interested in candidates who leverage artificial intelligence, machine learning, big data, cloud/edge computing, cybersecurity, and related emerging technologies to address contemporary engineering management and systems challenges. Potential application areas include transformational energy systems and digital twins for energy applications; intelligent vehicles, electrification, and large-scale transportation systems; healthcare systems and technologies; digital manufacturing, smart manufacturing, and resilient supply chains; and smart and sustainable cities and infrastructure. Candidates may also develop research that bridges multiple application areas, such as intelligent transportation and energy systems, digital twins for manufacturing and healthcare, or data-driven optimization of interconnected infrastructure.
  • The candidate will be expected to disseminate research through peer-reviewed journal publications and national and international conferences and to pursue external funding to develop and sustain a productive research program. The candidate is also expected to contribute to multidisciplinary research collaborations within the department, college, university, and external organizations. The candidate will participate in service activities within the department, college, and university, as well as in relevant professional engineering organizations. Engagement with industry partners and regional stakeholders is expected to strengthen collaborative research, support educational and workforce.

Requirements

  • Applicants must hold a Ph.D. degree in Engineering or another closely related field, such as Operations Research and Applied Mathematics. Preferred applicants will have a background in systems analytics and its applications in one or more of the following areas: supply chain, health care, transportation, energy, and manufacturing, and can teach R and Python.
  • In addition, they must demonstrate significant accomplishments or outstanding potential in scholarship, teaching, and research, depending on the rank of appointment. Successful candidates are expected to: 1) develop and sustain nationally and internationally recognized, externally funded research programs as evidenced by high-quality publications and successful mentoring of students; 2) contribute to teaching and curriculum development at both the graduate and undergraduate levels; and 3) contribute to the mission of the department.

Full Job Posting

Position Number

004416

Working Title

Assistant Professor

Classification Title

9-Mo Tenure-Track/ Tenured Faculty

College

College of Engineering (Col)

Department

Industrial & Systems Engineering

Position Designation

Faculty

Employment Type

Permanent - Full-time

Months per year

9

Primary Purpose of Department

The ISE program offers a dynamic undergraduate experience grounded in analytics, optimization, systems design and real-world problem solving, capped with hands-on industry projects. High-achieving students can accelerate their path through Early Entry graduate coursework. At the graduate level, flexible master’s options, including Engineering Management, prepare professionals to lead technical teams, improve processes and drive data-informed decisions across industries.

Vacancy Open to

All Candidates

Description of Work

The University of North Carolina at Charlotte recognizes the differentiation of mission, goals, and objectives inherent in the diversity of disciplines represented by its colleges and departments. Thus, the Job Responsibilities and Essential Functions for Tenured and Tenure Track Faculty should be interpreted in the context of the related departmental and collegiate goals. Teaching, Advising, Curriculum and Instructional Development – Faculty responsibilities and essential functions with respect to teaching may include but are not limited to: subject matter competence, course design, course presentation, advising and consultation, directing student research, curriculum and instructional development, and grading student work. Scholarly Research, Creative, and Other Professional Activities – All tenured and tenure-track faculty are expected to participate in expanding the knowledge base of their academic field by conducting research or engaging in other creative activities as appropriate to the faculty member’s discipline. Faculty responsibilities and essential functions with respect to research may include but are not limited to: research/creative activity that generates new knowledge and/or synthesizes and/or integrates existing knowledge, publication, an on-going agenda for research, scholarly, and creative activity, and are expected to seek extramural support for their work. Service to University, the Public, and the Profession – All tenured and tenure-track faculty are expected to engage in a program of service appropriate to their discipline. Faculty responsibilities and essential functions with respect to service may include but are not limited to: service to the administration and governance of the University, public service, and service to the profession. This position is subject to research-security screening. As part of the application, applicants must disclose, either in their CV or in a separate document submitted with the application , all current appointments or affiliations with foreign institutions or organizations, foreign research support, and ongoing research collaborations with foreign institutions, organizations, or their personnel. Before candidates advance to an on-campus interview, the university will review this information and other publicly available information for relationships involving institutions on the current Section 1286 list and any other applicable U.S. restricted-party lists. A disclosed or identified relationship does not automatically disqualify a candidate. As a condition of employment, a selected candidate must resolve any relationship the university determines would violate applicable law or sponsor requirements or materially impair the candidate’s or the university’s eligibility for federal funding. To view the complete Job Responsibilities and Essential Functions for Tenured and Tenure-Track Faculty document visit our website: https://facultyhandbooks.charlotte.edu/full-time-faculty-handbook/

Essential Duties and Responsibilities

The Industrial and Systems Engineering Department ( ISE ) at UNC Charlotte is seeking candidates for an 9-month tenure-track Assistant Professor (Pos 4416) with an expected start date of August 2027. A successful candidate will teach undergraduate and graduate courses in engineering management (e.g., project management, supply chain management), systems engineering, operations research, data analytics, and artificial intelligence applications; contribute to curriculum development; and mentor undergraduate and graduate students. The candidate is expected to establish and maintain an active, high-impact, and externally funded research program that complements and supports multidisciplinary research efforts in healthcare, manufacturing and supply chains, energy, and transportation and advanced mobility.

Research expertise may include systems modeling and decision analysis, forecasting, machine learning, optimization, reliability, simulation, and related analytical and computational methods. The department is particularly interested in candidates who leverage artificial intelligence, machine learning, big data, cloud/edge computing, cybersecurity, and related emerging technologies to address contemporary engineering management and systems challenges. Potential application areas include transformational energy systems and digital twins for energy applications; intelligent vehicles, electrification, and large-scale transportation systems; healthcare systems and technologies; digital manufacturing, smart manufacturing, and resilient supply chains; and smart and sustainable cities and infrastructure. Candidates may also develop research that bridges multiple application areas, such as intelligent transportation and energy systems, digital twins for manufacturing and healthcare, or data-driven optimization of interconnected infrastructure.

The candidate will be expected to disseminate research through peer-reviewed journal publications and national and international conferences and to pursue external funding to develop and sustain a productive research program. The candidate is also expected to contribute to multidisciplinary research collaborations within the department, college, university, and external organizations. The candidate will participate in service activities within the department, college, and university, as well as in relevant professional engineering organizations. Engagement with industry partners and regional stakeholders is expected to strengthen collaborative research, support educational and workforce.

Minimum Experience/Education

UNC Charlotte gives primary consideration to the earned doctorate or terminal degree in the teaching discipline or a related discipline.

Preferred Education, Skills and Experience

Applicants must hold a Ph.D. degree in Engineering or another closely related field, such as Operations Research and Applied Mathematics. Preferred applicants will have a background in systems analytics and its applications in one or more of the following areas: supply chain, health care, transportation, energy, and manufacturing, and can teach R and Python.

In addition, they must demonstrate significant accomplishments or outstanding potential in scholarship, teaching, and research, depending on the rank of appointment. Successful candidates are expected to: 1) develop and sustain nationally and internationally recognized, externally funded research programs as evidenced by high-quality publications and successful mentoring of students; 2) contribute to teaching and curriculum development at both the graduate and undergraduate levels; and 3) contribute to the mission of the department.

Necessary Licenses/Certifications

N/A

Special Notes to Applicants

Complete applications must include

  • a current resume;
  • a letter of interest;
  • one page statement of research; one page statement of teaching;
  • and the names, addresses, telephone numbers, and e-mail addresses for three professional references.

Review of applications will begin 11/16/2026.

The University of North Carolina at Charlotte is an equal opportunity employer and does not discriminate against employees or applicants for employment based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, physical or mental disability, veteran status, or any other protected status. In keeping with this commitment, UNC Charlotte ensures that persons of any background are invited, included, and treated equally in the terms and conditions of employment. The candidate chosen for this position will be required to provide an official transcript of their highest earned degree and submit to a criminal background check.

Job Open Date

10/06/2026

Open Until Filled

Yes

Date Review of Applications will Begin

11/16/2026

Proposed Hire Date

08/11/2027

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