ECE Part-Time Lecturer - Artificial Intelligence (Silicon Valley)

Northeastern University’s Department of Electrical and Computer Engineering invites applicants for a non-tenure track part-time faculty position to teach in the Master of Science in Artificial Intelligence, located on-ground at the Silicon Valley campus in San Jose, CA.

The MS in Artificial Intelligence prepares future leaders in AI with the essential skills to design and implement AI systems, offering a concentration in computer vision in the Department of Electrical and Computer Engineering.

Teach selected master’s-level courses in the Master of Science in Artificial Intelligence program in the College of Engineering (COE) at Northeastern University’s Silicon Valley campus. Course topics include Introductory Machine Learning, Linear Algebra for Machine Learning, and Statistical Inference. Responsibilities include course preparation (lectures, course materials, examinations, etc.), teaching in person, and evaluation of student performance in the course.

Key responsibilities include class notes preparation and class teaching time; holding office hours; homework, quiz, and exam preparation; homework, quiz, and exam grading; and weekly/periodic coordination meetings with the Director of Global Programs in Electrical & Computer Engineering and Boston campus representatives/instructors.

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

Academic

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

The salary listed for this position is the per-credit rate of $2,693.75; total compensation is based on the number of credits taught.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University’s sponsorship for a visa.

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.

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.