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North Carolina State University

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Raleigh, NC 27695, USA

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"Assistant Teaching Professor"

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Assistant Teaching Professor

Assistant Teaching Professor

Company: North Carolina State University

Job Location: Raleigh, NC

Category: Statistics

Type: Full-Time

Join the Pack! A community with nearly 8,000 faculty and staff, and 30,000 students. NC State is one of the largest employers in North Carolina, offering a large range of career opportunities. Visit us at https://jobs.hr.ncsu.edu/.

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 Work/Responsibilities: n/a

Minimum Experience/Education:

  • 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.

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 or Certification: Candidates must have earned doctoral degree in Statistics, Applied Mathematics or a related quantitative field.

10

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