About Northeastern: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. Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlington and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers. 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. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs. About the Opportunity: 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 Seattle, Washington. 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, 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. Qualifications:Minimum qualification: Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience. Preference for candidates with a PhD. 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. Supervision:This position will report to the Program Lead in the Master of Professional Studies in Applied Machine Intelligence.