Lecturer, Systems and Industrial Engineering

Lecturer, Systems and Industrial Engineering

The Department of Systems & Industrial Engineering is seeking an instructor for its Embedded Computer Systems course. SIE 370 covers Boolean algebra, combinational and sequential logic circuits, finite state machines, simple computer architecture, assembly and C/C++ language programming, and real-time computer control. This 4-unit course is offered every Fall and Spring semesters and is taken by industrial engineering, systems engineering, and engineering management students as well as other students in the college of engineering who wish to take it as a technical elective.

The course includes a hands-on laboratory session. The instructor will prepare lecture materials, student assessments (quizzes, homework assignments, exams, projects, etc.), deliver lectures at the University of Arizona Main Campus, and provide flexible learning options for online students or students who wish to participate in the class remotely. The ideal candidate will have academic and/or industry experience in embedded computer systems and hands-on applications.

Visa sponsorship is not available for this position. The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please .

Teach one section of SIE 370 Embedded Computer Systems

Prepare and deliver instructional materials and guide/lead class activities three times per week, plus a lab session once per week, every Fall and Spring semester at the University of Arizona Main Campus in Tucson, AZ

Ensure successful delivery of the course's learning objectives through the creation and dissemination of students assessments (e.g., quizzes, homework, exams, projects, etc.)

Establish and adhere to grading rubrics to ensure students understand grading expectations

Provide timely feedback to students on their submitted assignments

Maintain course materials in the University's chosen Learning Management System that is optimized for on-campus and remote students

Work with instructional designer to optimize course materials using Quality Matters standards for online learning

Support student learning in multiple modalities including in person, remote synchronous, and remote asynchronous

Gather and report ABET learning outcomes to department advisor

Assist in the professional development of students as they transition from academia into careers or graduate school

Minimum Qualifications:

Bachelor's degree in an engineering or closely related discipline and 5 years of experience as an engineering professional in one or more industrial organizations; OR Master's degree in an engineering or closely related discipline.

Rank:
Lecturer

Tenure Information:
Adjunct (NTE)

FLSA:
Exempt

Full Time/Part Time:
Part Time

Number of Hours Worked per Week: 10

Job FTE:.25

Work Calendar:
Academic

Job Category:
Faculty

Benefits Eligible:
No Benefits

Rate of Pay: $70.000

Compensation Type: salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required:
Name-based criminal background check (non-security sensitive)

Number of Vacancies: 1

Contact Information for Candidates:
Ricardo Valerdi valerdi