Part-Time Lecturer Applied Machine Intelligence Vancouver

About the Opportunity

About Northeastern:

Founded in 1898 Northeastern is a global research university and the recognized leader in experiencedriven lifelong learning. Our worldrenowned experiential approach empowers our students faculty alumni and partners to create impact far beyond the confines of discipline degree and campus. Our locationsinBoston; Charlotte North Carolina; London; Portland Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlingtonand the Massachusetts communities of Burlington and Nahantare nodes in our growing global university system. Through this network we expand opportunities for flexible studentcentered learning and collaborative solutionsfocused research. Northeasterns comprehensive array of undergraduate and graduate programs in a variety of oncampus and onlineformatslead to degrees through the doctorate in nine colleges and schools. Among these we offer more than195multidiscipline majors and degrees designed to prepare students for purposeful lives and careers.

The College of Professional Studiesis 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 Universitys College of Professional Studies invites applicants for a parttime faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program located onground in Vancouver Canada.

Responsibilities:

The Master of Professional Studies in Analytics is looking for parttime 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 multidisciplinary experiencebased 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 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.

Supervision:

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

Additional Information:

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.

Northeastern University is an Equal Opportunity Affirmative 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.

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience education and skills when extending an offer.

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.

Pay Range: