Assistant Professor - Master of Computer Science in Applied AI

University of Niagara Falls Canada•Niagara Falls, ON

6d•CA$91,800•Hybrid

About The Position

The University of Niagara Falls Canada (UNF) is an innovative and digitally oriented institution preparing graduates for leadership in the digital world. The Master of Computer Science in Applied Artificial Intelligence (MCS – AAI) program provides advanced knowledge in AI, machine learning, and data-driven innovation, emphasizing ethical AI, collaboration, problem-solving, and real-world application. Faculty members work closely with graduate students, industry partners, and research collaborators to advance AI innovation and prepare future AI professionals. This position involves delivering graduate-level courses, mentoring students, and contributing to the program's growth and excellence.

Requirements

PhD in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a closely related field.
Demonstrated excellence in graduate-level teaching, research, and scholarly activity.
Evidence of research productivity through publications, presentations, patents, applied projects, and/or success in securing research funding or industry partnerships.
Experience with graduate supervision, mentorship, academic leadership, and/or collaboration in research or professional settings, appropriate to career stage.
Strong communication and interpersonal skills, with a commitment to student success and fostering an inclusive learning environment.

Nice To Haves

Industry experience in artificial intelligence, machine learning, data science, software engineering, or related fields.
Experience deploying AI solutions in real-world environments.
Knowledge of modern AI frameworks and platforms, including TensorFlow, PyTorch, Hugging Face, LangChain, cloud AI services, and MLOps tools.
Experience with online, hybrid, and technology-enhanced learning.
Professional certifications in AI, cloud computing, or data analytics.
Experience leading interdisciplinary and industry-sponsored research projects.
Certified AI Educator (CAIE) credential from PAII is considered an asset

Responsibilities

Teach graduate-level courses within the MCS-AAI program.
Develop and deliver innovative, industry-relevant curriculum in applied artificial intelligence.
Supervise graduate capstone projects, research projects, and independent studies.
Mentor students in academic, professional, and research development.
Integrate emerging AI technologies, tools, and methodologies into teaching and learning activities.
Support experiential learning opportunities and industry-based projects.
Establish and maintain an active research agenda in Artificial Intelligence and related disciplines.
Publish in high-quality peer-reviewed journals and conferences.
Pursue external research funding from government, industry, and funding agencies.
Collaborate with faculty, industry partners, and interdisciplinary research teams.
Engage graduate students in applied research initiatives.
Build partnerships with industry, government, and community organizations.
Support program growth, curriculum enhancement, and accreditation activities.
Participate in departmental, faculty, and institutional committees.
Contribute to student recruitment, retention, and outreach initiatives.
Promote knowledge transfer and innovation through applied AI projects and collaborations.