Faculty Instructional Development Specialist

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DEPARTMENT SPECIFIC JOB SUMMARY

The Faculty Instructional Development Specialist will focus on faculty development related to AI systems in university teaching and learning. The incumbent will coach faculty, design and facilitate workshops and events, and collaborate with academic units and university stakeholders to support pedagogically grounded integration of AI. The incumbent will also help maintain a shared understanding of AI-related teaching initiatives across campus.

DEPARTMENT SPECIFIC JOB FUNCTIONS

• Provide individual and small-group coaching and guidance to faculty on incorporating AI systems into teaching and learning, including course design, assessment design, and course-level AI use statements.
• Design, facilitate, and evaluate workshops, seminars, conferences, and other events on AI systems in university teaching and learning.
• Liaise and collaborate with academic units and other university stakeholders, such as information technology, libraries, and student support units, on AI-related teaching initiatives.
• Maintain a current, shared view of AI-related teaching initiatives, pilots, and practices across campus, and make it accessible to the university teaching community.
• Develop and sustain AI-focused resources, such as guides, sample syllabus language, and assignment and assessment examples.
• Advise on AI tools and practices for teaching from a pedagogical perspective, with attention to privacy, accessibility, equity, and ethical use, in partnership with technology and policy stakeholders.
• Build and sustain communities of practice, such as faculty learning communities and showcases, where faculty share AI teaching approaches.
• Collect and analyze faculty and student feedback, participation, and outcomes data on AI-related teaching efforts, and report findings to inform university strategy.
• Stay current on research and developments in AI in higher education, and contribute to the scholarship of teaching and learning through presentations and publications as appropriate.
• Provide pedagogical expertise to committees, working groups, and policy discussions on AI in teaching.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

DEPARTMENT PREFERRED QUALIFICATIONS

Education:

Master's degree in relevant field required. Doctoral degree preferred but not required

Certification and Licensing:

None required.

Experience: Minimum 2 years of relevant experience required

• Experience in faculty development, instructional design, or higher education teaching, including facilitating workshops for faculty.
• Hands-on experience using generative AI in teaching, learning, or professional contexts.
• Experience collaborating with faculty or teams across multiple academic disciplines.

Knowledge, Skills and Abilities:

• Knowledge of generative AI capabilities, limitations, and implications for teaching, assessment, and academic integrity.
• Knowledge of evidence-based pedagogy and faculty development practices.
• Ability to translate technical concepts for non-technical audiences.
• Ability to build trust and partnerships across disciplines.
• Ability to work across disciplinary cultures and adapt AI teaching examples to different fields.
• Skill in evaluation and basic data analysis.

The University of Miami is recognized as one of the nation’s premier research institutions and academic health systems and is among the largest employers in South Florida.

With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.

We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

Job Status:

Full time

Employee Type:

Staff