Machine Learning/AI/Supply Chain Analytics Assistant Professor
Job Description
Posting Number
PG193058EPInternal Recruitment
NoWorking Title
Machine Learning/AI/Supply Chain Analytics Assistant ProfessorAnticipated Hiring Range
Commensurate with experienceWork Schedule
Monday through Friday 8:00am - 5:00pm; vary based upon academic calendarJob Location
Raleigh , North CarolinaDepartment
Wilson College of TextilesAbout the Department
For more than 120 years, the Wilson College of Textiles has developed a reputation for exceptional education, innovative research and productive industry partnerships. While we take pride in that legacy, we continue to set higher standards and new goals.
That means establishing sustainability as the foundation of everything we do. It means updating the cutting edge technology used in our state-of-the-art labs and studios. It means a commitment to diversity and inclusion in our culture and equity in the opportunities we provide. Put simply, it means using our textiles expertise to improve quality of life for everyone.
We produce leaders who make a difference both at home in North Carolina and across the world. Students land top jobs in manufacturing, fashion, athletics, research, medicine, academia and more. Our faculty count the CDC, DOD and the NSF as regular research partners.
The Wilson College provides both the community feel of a small college and the resources of NC State University, a leading land-grant public research institution and recognized as one of the best employers in the state. Not to mention, it’s located in the heart of Raleigh, North Carolina, which U.S. News and World Report named the third best American city to live in.
At NC State, our employee value proposition aims to create an ecosystem of meaningful work opportunities that align with Wolfpack 2030: Powering the Extraordinary, NC State’s strategic plan. We strive to provide an accepting and dynamic culture, opportunities for personal growth and professional development, and programs to support your busy life. Simply put, we want you to achieve your highest potential at work.
If you’re a world-class applicant with a passion for higher education and a commitment to affecting positive change locally and globally, apply to become a part of our hyper-collaborative Wolfpack where everyone belongs.
The Department of Textile Engineering, Chemistry and Science (TECS) is a unique, interdisciplinary department dedicated to providing instruction in the science, engineering and technical application of chemistry, color, polymers, bio-medicals, design, and production with regard to fibers and fiber-based materials.
TECS offers students the chance to work closely with some of the best textile researchers in the world. The department offers Master of Science degrees in Textile Chemistry and Textile Engineering, an Accelerated Bachelors/Masters program, and has students pursuing PhD degrees in Fiber and Polymer Science and Textile Technology Management. The Polymer and Color Chemistry degree offers several concentrations, including in medical sciences, while the Textile Technology degree is the only known program in the world to offer a concentration in medical textiles. The Textile Engineering (TE) program is a joint program between the College of Textiles and the College of Engineering and the only ABET accredited TE program in the country.
TECS offers students the chance to work closely with some of the best textile researchers in the world. The department offers Master of Science degrees in Textile Chemistry and Textile Engineering, an Accelerated Bachelors/Masters program, and has students pursuing PhD degrees in Fiber and Polymer Science and Textile Technology Management. The Polymer and Color Chemistry degree offers several concentrations, including in medical sciences, while the Textile Technology degree is the only known program in the world to offer a concentration in medical textiles. The Textile Engineering (TE) program is a joint program between the College of Textiles and the College of Engineering and the only ABET accredited TE program in the country.
Essential Job Duties
The Department of Textile Engineering, Chemistry and Science (TECS) at NC State University is seeking talented candidates for a tenure-track faculty position in Textile Engineering (TE) at the Assistant Professor level. The successful candidate is expected to have expertise in the area of Machine Learning/AI, Systems Modeling, Analytics, Quality, Operations and Supply Chain Management, and/or Information Systems and to have an interest in applying their expertise to the larger textile complex. A typical faculty load in TECS is 45% research, 45% teaching, and 10% service.
Teaching: We seek educators who demonstrate a strong potential for teaching excellence in the TT and TE programs. We prefer an individual who is dynamic in the classroom and is student-centric. Active participation in the academic advising of students as well as in the assessment/accreditation process is also expected. Primary teaching responsibilities will be at the intersection of practical operations management, supply chain operations, quality management, information systems, and systems modeling at both the undergraduate and graduate levels; however, skills in information management, supply chain management, quality control or Lean Six Sigma are also desirable. The successful candidate will mainly teach operations and supply chain-related courses in the Textile Technology program, including:
- TT 380 (Management and Control of Textile and Apparel Systems)
- TT 480 (Operations Management Decisions for Textiles)
- TT 485 (Textile Computer Integrated Enterprise)
- TT 486 (Supply Chain Management in the Textile Industry)
- Other classes in data analytics and additional supply chain-related courses (e.g., TE 110, TE 440/540, TE 404/424, and/or TTM 761, etc.)
More information on our courses can be found here: https://www.acs.ncsu.edu/php/coursecat/directory.php. In addition, new course topics can also be proposed.
Research: We seek scholars who exhibit potential for establishing and growing an active research program, which entails effective mentoring of graduate (and undergraduate) students and managing a productive and safe laboratory. The successful candidate will be expected to secure extramural funding and to communicate research findings in peer-reviewed and other scholarly publication sources, as well as at technical meetings at the local, national, and international levels. Particular research areas of interest include supply chain analytics, data science and analytics, machine learning and AI, systems modeling, operations and supply chain management, and information systems. However, related and/or complementary areas will also be considered. Candidates who value a collaborative environment are preferred.
Service: We seek an individual who will be proactive and enthusiastic about actively recruiting and retaining TECS undergraduate and graduate students, with a commitment to improving access to higher education for people from underrepresented groups. In addition, TECS expects active service on departmental, college, and university committees and involvement in professional societies and organizations.
Minimum Education and Experience
At the time of hire, the successful candidate must have earned a doctorate from an accredited university in Industrial and Systems Engineering, Operations Management, Information Systems, Management Science, Operations Research, Statistics, Computer Science, Textile Technology Management, Textile Engineering, or a related field
Other Required Qualifications
- Demonstrated potential for excellence in teaching, with an emphasis on supply chain operations and information science.
- Demonstrated potential for developing an innovative research program in data analytics, supply chain analytics, machine learning / AI, or related fields.
- Enthusiasm for mentoring and advising students at both the undergraduate and graduate levels.
- Demonstrated potential of embracing the Wilson College of Textiles values: compassion, equity, collaboration, innovation, and sustainability.
- Communication of research findings at technical conferences and in peer-reviewed journals and/or other scholarly sources.
- The potential to secure extramural funding for research.
Preferred Qualifications
- A willingness to collaborate with colleagues within and across academic units and government agencies.
- Research expertise in the use of machine learning/AI, data analytics, supply chain analytics and optimization
- A desire and willingness to serve the department, college, university, and larger scientific communities, including:
- Involvement in professional societies and organizations,
- Serving on institutional, departmental, college, and university committees,
- Actively recruiting undergraduate and graduate students for NC State University and the TECS department.
- Experience working with textile companies or within the textile complex.
Required License(s) or Certification(s)
n/a
Valid NC Driver's License required
NoCommercial Driver's License required
NoJob Open Date
12/06/2023Anticipated Close Date
Open Until FilledSpecial Instructions to Applicants
Please include the following documents:
- Cover Letter – Additionally, NC State has a strategic plan with a set of seven goals—Wolfpack 2030: Powering the Extraordinary! The Wilson College of Textiles has set our vision as, “A compassionate world in which textiles enhance sustainability and quality of life for all.” https://textiles.ncsu.edu/about/strategic-plan/. In your cover letter, please include how you would support the college to achieve this vision.
- Curriculum vitae.
- Statement of your research plan; please also address sources of prospective funding.
- Statement of teaching interests and teaching style/teaching philosophy, including the types of courses you would like to teach.
- Up to three representative publications or manuscripts. Please use “Other Documents 1” and combine these in a single file.
- List of three professional references.
Position Number
00001345Position Type
Tenured/Tenure-Track FacultyFull Time Equivalent (FTE) (1.0 = 40 hours/week)
1.00Appointment
9 Month RecurringMandatory Designation - Adverse Weather
Mandatory - Adverse WeatherMandatory Designation - Emergency Events
Mandatory - Fire/Explosions, Mandatory - Medical Emergencies, Mandatory - Hazardous Material Incidents, Mandatory - Transportation Accidents, Mandatory - Evacuations/Natural Hazards, Mandatory - Utilities/Infrastructure Failure, Mandatory - Threats of Violence/Terrorism/Interpersonal EmergenciesDepartment ID
186401 - Textile Engineering, ChemistryAA/EEO
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
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