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Assistant Teaching Professor

North Carolina State University
Commensurate with education and experience (anticipated hiring range $105,000 - $120,000)
life insurance, flexible benefit account, paid time off
United States, North Carolina, Raleigh
Oct 01, 2025
Posting Information








Posting Number PG194250EP
Internal Recruitment No
Working Title Assistant Teaching Professor
Anticipated Hiring Range Commensurate with education and experience (anticipated hiring range $105,000 - $120,000)
Work Schedule Monday - Friday, 8:00 am - 5:00 pm
Job Location Raleigh, NC
Department Institute for Advanced Analytics
About the Department
In 2007, NC State University's Institute for Advanced Analytics established itself as the leader in graduate analytics education, an emerging field that includes data management, mathematical, statistical, and machine learning/AI methods for data modeling, and techniques for data visualization in support of enterprise-wide decision-making. The Institute's core mission is to prepare students for the challenging task of deriving insight from vast quantities of structured and unstructured data. Its flagship program is the Master of Science in Analytics ( MSA), an innovative and immersive professional science master's degree of ten months duration.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being.
What we offer:


  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year

  • Tuition and Academic Assistance

  • And so much more!




Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.

Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
We are seeking a faculty member to teach and mentor students in the Master of Science in Analytics ( MSA) program. This position plays a key role in preparing students for success through high-quality instruction, curriculum innovation, and professional coaching.

What You'll Do

  • Teach assigned courses during summer, fall, and spring semesters in both classroom and online formats.
  • Develop curriculum, instructional materials, and assessment tools.
  • Mentor and support students on practicum projects, guiding presentations and final reports for industry sponsors.
  • Provide individualized coaching and group instructional support to MSA students.
  • Supervise graduate teaching assistant(s).
  • Participate in scholarly and service activities, including research, consulting, and outreach aligned with Institute priorities.
  • Serve on the Admissions Committee.


Other Responsibilities
n/a
Qualifications






Minimum Education and Experience

  • An earned doctorate in statistics, applied mathematics, or a closely related quantitative field.
  • Strong knowledge of statistical applications in both supervised and unsupervised learning contexts.

Other Required Qualifications

  • Skilled in delivering engaging instruction, providing constructive feedback, and collaborating with colleagues and partners to advance program goals.
  • Ability to work collaboratively in course design and delivery.
  • Programming experience in statistical programming and/or R.


Preferred Qualifications

  • Ability to develop, coordinate, and teach graduate-level courses.
  • Experience working with standard statistical software packages, e.g., SAS, R, and Python.
  • Ability to develop and deliver instructional modules in linear algebra, multivariate analyses, probability distributions, and optimization.
  • Teaching experience in the fields of optimization techniques, data mining, regression analysis, linear algebra, and survival analysis.

Required License(s) or Certification(s)
Candidates must have earned doctoral degree in Statistics, Applied Mathematics or a related quantitative field.
Valid NC Driver's License required No
Commercial Driver's License required No
Recruitment Dates and Special Instructions




Job Open Date 10/01/2025
Anticipated Close Date Open Until Filled
Special Instructions to Applicants
Please include a cover letter, cv/resume, a teaching philosophy statement and contact information for at least three professional references.
Position Details






Position Number 00101694
Position Type Non-Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week) 1.00
Appointment 12 Month Recurring
Mandatory Designation - Adverse Weather Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events Non Mandatory - Emergency Event
Department ID 020301 - Advanced Analytics
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.

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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