Assistant Professor - Master of Computer Science in Applied AI

Location: Niagara Falls

Assistant Professor - Master of Computer Science in Applied AI
FT hrs - Permanent Faculty Niagara Falls, ON, CA

11 days ago

Requisition

Officially opening its doors in 2024, the University of Niagara Falls Canada (UNF) is an innovative and digitally oriented institution that prepares graduates for leadership in the digital world. We believe in delivering programs that provide a direct pathway to meaningful careers in high-demand industries. UNF is part of the Global University Systems Canada group of institutions and Global University Systems, an international network of higher education institutions.

Our campus is located in historic downtown Niagara Falls. Beyond being Canada’s #1 travel destination, Niagara Falls is a small vibrant city that offers up a slice of metropolitan living at a different pace. From world-class dining and entertainment options to luxury shopping and cultural experiences. Our location offers the amenities of a large urban center within a comfortable, liveable community.

About the faculty and department
The Master of Computer Science in Applied Artificial Intelligence (MCS – AAI) prepares students for careers in AI, machine learning, and data-driven innovation. The program provides advanced knowledge in machine learning, neural networks, large language models, computational linguistics, data analytics, pattern recognition, and image processing, while emphasizing ethical AI, collaboration, problem-solving, and real-world application across a range of industries. Faculty members have the opportunity to work closely with graduate students, industry partners, and research collaborators to advance innovation in artificial intelligence while preparing the next generation of AI professionals and leaders.

About the position:

Title:

Assistant Professor – Applied Artificial Intelligence (MCS – AAI)

Location:

Niagara Falls, Ontario, Canada (Onsite)
Work arrangement:
Onsite hybrid, Minimum 2 days per week

Reports To:

Associate Dean - Applied Artificial Intelligence (MCS – AAI)
Expected hiring salary:  Minimum salary $ 91,800

* Rank and salary are determined through an internal review and approval process

The Master of Computer Science in Applied Artificial Intelligence program invites applications for the position, Assistant Professor, Master of Computer Science in Applied Artificial Intelligence. We are seeking highly qualified and motivated individuals with a strong background in the following areas to join our diverse faculty team.

Machine Learning and Deep Learning

Generative Artificial Intelligence and Large Language Models (LLMs)

Natural Language Processing

Computer Vision

AI Engineering and MLOps

Explainable and Responsible AI

Agentic AI Systems and Autonomous Agents

AI for Cybersecurity

Cloud-Based AI Solutions

Data Science and Predictive Analytics

Edge AI and Internet of Things (IoT)

Robotics and Intelligent Systems

Human-AI Interaction

The ideal candidate will have an advanced academic background (PhD) and extensive expertise in the fields of Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a closely related field. The candidate will be responsible to deliver graduate-level courses, mentor students, and contribute to the continued growth and excellence of the program.

Key Responsibilities:

Teaching and Graduate Supervision

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.

Research and Scholarly Activity

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…