Part-Time Lecturer - Applied Machine Intelligence; Seattle

Part‑Time Lecturer – Applied Machine Intelligence (Seattle) About the Opportunity

Part‑time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on‑ground in Seattle, Washington.

The Master of Professional Studies in Analytics is looking for part‑time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics.

The Applied Machine Intelligence courses offer a multi‑disciplinary, experience‑based approach that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.

Minimum qualification:

Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience. Preference for candidates with a Ph.D. in a sciences field or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

This position will report to the Program Lead in the Master of Professional Studies in Applied Machine Intelligence.

Academic

Northeastern has a comprehensive benefits package for benefit‑eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement – as well as commuting & transportation.

The per credit rate is $1,529

Northeastern University is an Equal Opportunity, Affinity Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

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