
Part Time Faculty β Artificial Intelligence
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in United States.
β’ Instruct part-time doctoral courses focused on Artificial Intelligence as part of Anderson University's Ed.D. program in Leadership and Artificial Intelligence.
β’ Deliver classes on the fundamentals of AI, machine learning, generative AI, AI ethics, cybersecurity and AI risk management, digital transformation, AI innovation, applied doctoral research, and capstone projects.
β’ Relate current advancements in AI to leadership and organizational practices.
β’ Utilize case studies, practical projects, simulations, and real-world organizational challenges.
β’ Mentor doctoral candidates in their applied research endeavors.
β’ Guide students in translating their research into practical organizational solutions.
β’ Engage, when appropriate, in the Responsible AI Leadership Capstone.
β’ Assist students with research design, organizational analysis, implementation strategies, evaluation, and the professional presentation of their doctoral-level work.
β’ A completed terminal degree (Ph.D., Ed.D., D.Sc., D.B.A., D.Eng., D.C.S., or another suitable doctorate) from a recognized accredited institution.
β’ Graduate-level education, scholarship, research, and/or significant professional experience relevant to the courses being taught.
β’ Proven knowledge of contemporary artificial intelligence and its applications within organizational settings.
β’ Capability to teach and mentor doctoral students in a challenging academic and professionally relevant context.
β’ Proficiency in teaching effectively across online, hybrid, and intensive-residency formats.
β’ A dedication to supporting the mission and values of Anderson University.
β’ Substantial academic and/or professional expertise pertinent to the doctoral course or courses being taught.
β’ Preference may be provided for candidates with professional experience in AI implementation or leadership, expertise in generative AI/LLM/machine learning, enterprise AI implementation, AI governance and ethics, doctoral-level instruction, dissertation or capstone supervision, and ongoing engagement with the AI sector.
β’ Comprehensive benefits package.
β’ Opportunities for professional development and growth.
β’ Engaging work environment within a supportive academic community.
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