"Part-Time Lecturer (MGEN Telecom Toronto)"

Part-Time Lecturer (MGEN Telecom Toronto)

About the Opportunity

The Department of Multidisciplinary Graduate Engineering (MGEN), within the College of Engineering, invites applications for Part-Time Lecturer positions for teaching graduate courses in the Cyber-Physical Program in Toronto, ON. Students in this program learn about the set of technologies, systems, and design principles associated with the emerging wave of Internet-connected things that are based on the physical environment.

The MGEN unit seeks to produce more effective software engineers who are substantially more capable than ever of addressing the needs of digital society in terms of time, cost, and quality. The unit will accomplish this by revolutionizing the way software is designed and evolved over time, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary

Responsibilities

Teach selected graduate courses in the MGEN Cyber-Physical Program. See website for details of the program: https://coe.northeastern.edu/academics-experiential-learning/academic-departments/mgen/ms-cyps

The Master of Science, MS, Cyber-Physical Systems program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge and tools to develop IoT applications, to analyze and design IoT architectures for different application domains, and to develop data analytic tools to analyze the large amounts of data generated by the massive deployment of IoT devices.

Responsibilities include preparation of lectures, course materials, examinations, and evaluation of student performance in the course. Courses include, but are not limited to, the following:

• TELE 6510: Fundamentals of the Internet of Things
• TELE 5330: Data Networking
• TELE 6530: Connected Devices
• TELE 6500: Machine Learning Algorithms for Internet of Things Systems

Qualifications

M.S. or Ph.D. in relevant engineering discipline is required; some professional and/or teaching experience preferred. Must have strong, effective verbal skills to communicate well with students.

Technical knowledge and experience:

• IP Data networking and communications (TELE6510, TELE5330)
• IoT protocols (TELE6510)
• IoT architectures (TELE6530)
• Device/Edge and Cloud based Machine Learning (TELE6500)

Position Type: Academic

Additional Information: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, or any other characteristic protected by the law.

Pay Range: The per credit rate is $3,565 CAD

To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Toronto-ON-Canada/Part-Time-Lecturer--MGEN-Telecom---Toronto-_R132151