Part-Time Lecturer in Analytics & AI

NU USA Northeastern University; Seattle (WA); Remote; USD 5,000 - 10,000; Part time

Job summary

Northeastern University in Seattle is seeking part-time faculty to teach courses across the Master of Professional Studies in Analytics, with emphasis on applied machine learning, artificial intelligence, and addressing real-world business challenges. Instructional areas include analytics, probability and statistics, data exploration, data visualization, and predictive analytics.

The Applied Machine Intelligence courses adopt a multi-disciplinary, experience-based approach that prepares students

Qualifications

• 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 graduate-level teaching online or on ground preferred.

Responsibilities

• Teach courses across the Master of Professional Studies in Analytics, focusing on applied machine learning, AI, and experiential addressing business challenges.
• Instructional areas include 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 AI.
• Through courses and projects that focus on applied machine learning, AI, data management, data analysis, and data visualization, students learn to address business issues in any industry.

Skills

Teaching experience

Online teaching

Graduate-level instruction

Education

Terminal degree in analytics or AI

Ph.D. preferred

Job description

Northeastern University in Seattle is seeking part-time faculty to teach courses across the Master of Professional Studies in Analytics, with emphasis on applied machine learning, artificial intelligence, and addressing real-world business challenges. Instructional areas include analytics, probability and statistics, data exploration, data visualization, and predictive analytics.

The Applied Machine Intelligence courses adopt a multi-disciplinary, experience-based approach that prepares students