Part-Time Lecturer Applied Machine Intelligence (Vancouver)
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.
The College of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life.
Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Vancouver, Canada.
Responsibilities: 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 analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics.
Qualifications: 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 at the graduate level strongly preferred.
Whoops! This job is not yet sponsored…
Or, view more options below
View full job details
See the complete job description, requirements, and application process
Express interest in this position
Let Northeastern University know you're interested in Part-Time Lecturer Applied Machine Intelligence (Vancouver)
Get similar job alerts
Receive notifications when similar positions become available