Assistant Professor

University of North Carolina at Charlotte, United States

Updated: about 9 hours ago
Location: Charlotte, NORTH CAROLINA
Job Type: FullTime
Deadline: ;

Position Information
General Information


Position Number 003754
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 Department of Industrial & Systems Engineering is a thriving, relatively new department of the UNC Charlotte’s William States Lee College of Engineering. The Department offers the Bachelor of Science Program in Systems Engineering, the Master of Science Program in Engineering Management, and the PhD Program in Infrastructure and Environmental Systems.
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 her/his 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.

To view the complete Job Responsibilities and Essential Functions for Tenured and Tenure-Track Faculty document visit our website: http://provost.uncc.edu/academic-budget-personnel/handbook/search-committee
Essential Duties and Responsibilities
The Department of Industrial & Systems Engineering at the University of North Carolina at Charlotte has one tenure-track assistant professor position. The successful candidate is expected to support the academic programs offered by the department. Research focus and expertise may include any of the following: data science, forecasting, industrial systems, machine learning, optimization, reliability, simulation, and statistics.
The successful candidate will be expected to develop a funded research program that complements and supports multidisciplinary research efforts in transformational energy systems, transportation and advanced mobility, digital manufacturing, and smart and sustainable cities. We are particularly interested in those with experience in leveraging artificial intelligence, machine learning, big data, cloud/edge computing, cybersecurity, etc. to address today’s engineering challenges. Potential specific domain areas include advanced battery technologies, digital twinning in energy and manufacturing, intelligent vehicles and electrification, simulation and calibration of large-scale and complex transportation systems, distributed self-aware systems for smart city applications, and vehicle to infrastructure communications.
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 Computer Science and Statistics. Preferred applicants will have a background in data science and its applications in one or more of the following areas: supply chain, health care, transportation, energy, and manufacturing, and can teach R (with data mining) and Python (with Data warehousing/SQL).
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 diversity initiatives at the University.
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.
The University of North Carolina at Charlotte is an Equal Opportunity, Affirmative Action Employer. Members of minority groups, persons with disabilities, protected veterans, and women are especially encouraged to apply.
Information about the university’s benefits package can be found at https://hr.charlotte.edu/benefits .
The finalist is subject to a criminal background check.
Job Open Date 09/22/2023
Job Close Date
Open Until Filled Yes
Date Review of Applications will Begin 10/31/2023
Proposed Hire Date 08/15/2024
If time-limited, please indicate appointment end date
Contact Information
For questions, contact: Systems Engineering Faculty Search Committee at [email protected] .

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