Date Posted: 06/17/2025 Req ID: 43631 Faculty/Division: Faculty of Applied Science and Engineering Department: Dept of Mechanical and Industrial Eng Campus: St. George (Downtown Toronto) Description: Course number and title: MIE1050 : Design of Intelligent Network Sensors Course description: This course will provide students with practical knowledge on sensor network design including sensor selection, calibration, digitization, and digital signal processing. Students will be introduced to theory and operation of various sensor technologies and their applications. Commonly used transducers such as chemical, mechanical, and magnetic as well as the more advanced organic and nuclear transducers are discussed. This course will also cover linear and non:linear multi:parameter calibration. Digitization, and a survey of digital signal processing techniques will be discussed with practical application of commonly used digital filters. Special focus will be placed on optimal design of sensor networks and multi:sensor data fusion. There will be a design project to enforce the lessons learned in class on sensor calibration and digital signal processing. Estimated course enrolment (approximately): TBD Estimated TA support: TBD Class schedule: TBD Sessional dates of appointment: September to December 2025 Salary: 15,000 (per half course inclusive of vacation pay) Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum qualifications: Applicants should have a strong record of presenting lectures or acting as a teaching assistant. Applicants must be able to demonstrate considerable depth of knowledge and experience in the subject area. All applicants should have excellent communication skills : both oral and written. Professional Engineer (P.Eng.) or Limited License (LEL) is strongly preferred. Engineering Intern (EIT) is also acceptable. Description of duties: Preparation of lectures and course materials; delivery of lectures; supervision of Teaching Assistants; setting and marking of tests and exams; evaluation of final grades; contact with students. Application instructions: Please submit a Unit 3 Sessional Instructor Application Form, Resume and Teaching Dossier merged into a single PDF file to the MIE Graduate Office Jonathan Alexander at no later than July 10, 2025 at 11:59pm (eastern time) . The Course Instructor Application Form can be found on the MIE Careers page here: mie.utoronto.ca/faculty:staff/careers/ . Applicants must include full contact information of their supervisor, plus two U of T employees (faculty of staff) who can testify to the teaching skills of the applicant. If during the application and/or selection process you require accommodation due to a disability, Jonathan Alexander at . The appointment will be made at the earliest possible time before the commencement of classes by the Associate Chair, Graduate Studies of the Department of Mechanical and Industrial Engineering. No other offers or notices of the outcome of applications are authorized by the Department. Final availability of the position is contingent upon final course determination, enrolment, budgetary considerations, and the final determination of assignments flowing from Article 14:03 of the Collective Agreement. Closing Date:07/10/2025, 11:59PM EDT ** This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Preference in hiring is given to qualified individ