Part-time Instructor: AIA 328 Predictive Analytics for Digital Automation, Online (Spring 2027)

Syracuse University

Part-time Instructor: AIA 328 Predictive Analytics for Digital Automation, Online (Spring 2027)

Location

Syracuse, NY - (online)

Campus Remote

Commitment to On-Campus Experience

Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus. Remote work arrangements are limited in accordance with University policy.

Pay Range $6,000.00 per course

Pay Determination

Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience, where applicable. Faculty pay ranges are for 8.5 months’ salary unless otherwise specified.

FLSA Status Exempt

Hours

As determined by department/chair. Evenings required. Office hours required.

Job Type Part-time

Rank PTI/Adjunct

Unionized Position Code Not Applicable

Job Description

College of Professional Studies is seeking a Part-time Faculty to instruct the following course:

AIA 328 Predictive Analytics for Digital Automation (Online)

This course is designed to equip students with an understanding of the fundamental concepts of digital automation. The course will explore the convergence of digital technologies with traditional automation processes and highlight the impact of this transformation on industry.

This position is anticipated to be filled on a fully remote basis. Not all geographical areas within the United States are eligible. Employment offers at Syracuse University are based on a combination of factors including, but not limited to, the job responsibilities; the candidate’s education, training, work experience and key competencies; the university’s strategic priorities; internal peer equity; applicable federal, state, local laws, grant funding and contractual requisites; and external market analyses.

Qualifications

• Master’s Degree preferred.

• Significant experience in the field.

• Job Specific Qualifications

Candidates must have significant teaching and/or professional experience in this field. Additional qualifications include:

• Online teaching experience.
• Experience with instructional design preferred.
• The ability to be self-directed with broadly defined guidelines.
• Demonstrated ability to interact effectively and efficiently with diverse people in a multidisciplinary environment.
• Interest in learning to use new technological tools to engage students in a virtual classroom environment.

Responsibilities

For each online section:

• Conduct live discussions weekly incorporating group work, case studies or other online pedagogy tools, incorporating material covered asynchronously, as well as student questions, items in the news that apply to course concepts, and other external sources or guests relevant to course content, etc.

• View asynchronous content and student work and inquiries in advance of weekly live sessions.

• Grade assignments and exams quickly and provide relevant feedback to students.

• Maintain regularly scheduled virtual office hours.

• Submit progress reports and final grades according to University regulations.

• Participate in instructor meetings quarterly.

• Physical Requirements

• Not Applicable

• Tools/Equipment

• Not Applicable