About the Opportunity About the Opportunity: The College of Professional Studies invites applications for an open-rank, non-tenure track faculty position in the Master of Professional Studies in Applied Artificial Intelligence (AI) at the Northeastern University Campus in Vancouver, British Columbia. The program prepares future leaders in AI with the essential skills to design and implement AI systems, offering concentrations in machine learning, robotics, computer vision, energy systems, and process engineering. This innovative program combines technical rigor with applied learning opportunities, ensuring graduates are well-positioned to drive the development and responsible integration of AI technologies across disciplines. Faculty in this program have the opportunity to: Contribute to a fast-growing, interdisciplinary program that bridges AI and real-world application. Teach and mentor students from diverse professional and academic backgrounds, supporting their paths to becoming leaders in the AI workforce. Collaborate with colleagues across the College and the University on applied projects and industry partnerships. Shape the future of AI education by helping to refine curriculum or develop new course offerings. Participate in outreach, community engagement, and initiatives promoting ethics and inclusivity in AI. This position offers a unique opportunity to join a forward-thinking academic community committed to advancing AI knowledge and preparing the next generation of professionals. Responsibilities: This full-time non-tenure track faculty member is expected to bring their knowledge and skills to advance the program, seeking to serve students by participating in a range of teaching and non-teaching activities that support the advancement of the program. They will teach a full teaching load spread throughout the year and will work with the program office on administrative issues and programmatic projects. Beyond the classroom, faculty members will engage in service at the department, college, and university levels, with responsibilities based on-ground at the Vancouver campus and contributing to the vibrancy of campus life, while also pursuing ongoing professional development. Teaching (60%) Teach courses in Applied AI, such as Applied AI and Machine Learning, Applied Deep Learning, Applied Computer Vision, and Applied Natural Language Processing. In conjunction with the Academic Lead, develop and implement course learning outcomes, curriculum maps, resource guides, textbooks, syllabi templates, and updated course materials; including campus-specific coursework as desired. Oversee the instruction of specific courses within the curriculum. Responsibilities include supporting the Academic Lead in the selection of part-time instructors, advising on syllabi, and evaluating part-time instructor performance. Identify and provide recommendations to keep curriculum relevant and industry leading. Work with the Academic Lead to ensure regional license/accreditation requirements are met. Teaching and actual course load may vary with other responsibilities, which include, but are not limited to: Program & Campus Support (10%) In consultation with the Academic Lead: Student Recruitment and Program Representation Leverage professional networks and create local events to increase program, college, & University brand. Create and provide oversight of program/industry advisory boards. Represent the program in campus meetings, special events, open houses, and orientations. Represent program in campus accreditation reviews and renewals. Student Support Act as the third line of support for student curriculum/faculty escalations (supporting Academic Lead and course Principal Instructor). Serve as faculty sponsor for student-led events and networking opportunities. Faculty Support Recruit and vet qualified candidates for part-time faculty positions, coordinate with Academic Lead for secondary interviews and to complete the hiring process with HR. Join campus onboarding meetings for new faculty to provide a face for the program. Service (10%) Service work to support the mission and vision of the program, College and University. Professional Development/Scholarship (20%) Engage in professional development activities to maintain currency and contribute to student learning in their field by promoting the dissemination of knowledge through scholarship/research/creative activity and/or professional development. Canadian-based faculty are required to perform research and publish to satisfy program accreditation requirements in Canada including at least scholarly accomplishments each year. Qualifications: The successful candidate must demonstrate strong teaching abilities and a dedication to continued improvement as an educator. Experience teaching at the master’s level, teaching and developing on ground and online courses, and proven success in working with international students are desired attributes. The successful candidate will have the following qualifications and characteristics: • A terminal degree from an accredited institution in AI, computer science, statistics, analytics, data science, or a related field by appointment date • 3+ years of professional experience in advanced AI, analytics or data science and familiarity with commonly used tools and techniques in analytics (R, python, Tableau, Spark, SQL, etc.). • Knowledge about how to manage, analyze, communicate, visualize, and lead with artificial intelligence is a plus. • Experience teaching at the graduate level and innovative use of technology in support of assessment and learning • Excellent written and oral communication, specifically with the ability to communicate technical concepts to novices and non-technical stakeholders. Please include a letter of interest, CV and names of 3 references. Please direct questions to Xiaomu Zhou (Xi.zhou@northeastern.edu). Applications will be reviewed until the position is filled. 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 Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. 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. Visit https://hr.northeastern.edu/benefits/ for more information. 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: Assistant Teaching Professor: $101,000 - $122,000 CAD | Associate Professor: $111,000 - $135,000 CAD | Professor: $124,000 - $140,000 CAD With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact. Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.