Northeastern Universityposted 4 days ago
$97,200 - $158,600/Yr
Full-time - Entry Level
Seattle, WA
Educational Services

About the position

The Data Analytics Engineering MS Program within the Mechanical and Industrial Engineering (MIE) Department at Northeastern University is seeking outstanding individuals committed to teaching excellence to fill non-tenure-track faculty positions at the rank of assistant, associate, or full teaching professor at its Seattle campus with the focus in the general area of Industrial Engineering. The main responsibility of the non-tenure-track teaching faculty is high quality student-centered teaching, including course preparation, delivery, and assessment. The annual course responsibility is six courses. The selected candidate is expected to teach and advise, as well as to identify new and industry-trending subjects for curriculum advancement. The Assistant, Associate, or Full Teaching Professor is also given the opportunity to participate in department, university, and professional service activities as well as be engaged in a modest level of research activities, for their own professional development.

Responsibilities

  • High quality student-centered teaching including course preparation, delivery, and assessment.
  • Teach and advise undergraduate and graduate students.
  • Identify new and industry-trending subjects for curriculum advancement.
  • Participate in department, university, and professional service activities.
  • Engage in a modest level of research activities for professional development.

Requirements

  • Ph.D. required in Industrial Engineering, Mechanical Engineering, Data Science, Computer Science, or a closely related field by the appointment start date.
  • Excellent written and oral communication skills.
  • Evidence of teaching effectiveness is expected.
  • Industrial experience is desirable.
  • Familiarity with latest electronic teaching tools and experiential e-learning.

Nice-to-haves

  • Strong background in Analytics, Data Mining, Machine Learning, Optimization, Systems Simulation, Cloud Analytics, and Computational Tools for Analytics.
  • Proficiency in Python, R, and SQL.

Benefits

  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Paid time off
  • Tuition assistance
  • Wellness and life benefits
  • Retirement benefits
  • Commuting and transportation benefits
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