Part-Time Lecturer (MGEN Telecom – Toronto)

About the Opportunity

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 overtime, 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

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. 

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.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.

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. 

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. 

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.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.

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