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Specialization in Ai and Machine Learning

2 weeks ago

Vancouver, Canada University Canada West Full time

University Canada West is seeking continuing faculty who are highly talented, motivated, and qualified professionals, ready for the next level of challenge in their careers to teach at our Vancouver campuses. Faculty members specializing in Leadership (change management, negotiations, leadership & decision-making, intercultural communications), and Artificial Intelligence and Machine Learning Leadership, Leadership for Advanced Project Management and Leadership for STEM Professionals will teach and develop innovative curriculum that prepares students to lead and manage complex, interdisciplinary teams in both AI-driven projects and STEM-based organizations. The courses will emphasize advanced project management principles tailored to the unique challenges of AI/ML environments and the leadership dynamics within engineering, science, and technology fields.

**Qualifications**:
Applicants for continuing faculty positions in the MBA program should have a related doctoral degree.

**The continuing faculty positions are located on campus in our Downtown Vancouver campuses. Applicants must be able to attend in-person classes.**

**Key Responsibilities**:

- **Curriculum Development & Teaching**:

- Develop and teach across leadership electives (change management, negotiations, leadership & decision-making, intercultural communications) and two specialized MBA courses: _Leadership for Advanced Project Management in AI & ML _and _Leadership for STEM Professionals. _
- Deliver coursework that emphasizes project scope definition, scheduling, risk and cost management in AI projects.
- **Applied Learning Approach**:

- Utilize case studies, simulations, and team-based exercises to help students address complex challenges in AI-driven projects and STEM leadership.
- **Leadership & Team Dynamics**:

- Focus on the development of leadership capabilities required to manage technical professionals and interdisciplinary teams in both AI and STEM industries.
- **Industry Engagement & Collaboration**:

- Establish relationships with AI/ML companies, tech firms, engineering and scientific organizations to integrate industry-relevant content into the curriculum.
- Bring in industry experts for guest lectures, mentorship opportunities, and real-world case study analysis to give students a practical understanding of leadership in these sectors.
- Stay abreast of industry trends in change management, negotiations, leadership & decision-making, intercultural communications, AI/ML, STEM leadership, and project management, ensuring the course content is cutting-edge and aligned with current industry practices.
- **Research & Thought Leadership**:

- Engage in research on leadership strategies in technical environments, with a focus on change management, negotiations, leadership & decision-making, intercultural communications in AI, ML, and STEM industries.
- Publish and present research findings at academic and industry conferences, contributing to the advancement of knowledge in the fields of change management, negotiations, leadership & decision-making, intercultural communications, AI-driven project management and technical leadership.

**_Specific Qualifications:_**
- Ph.D. or DBA in Leadership, Organizational Development, Business Administration, Project Management, Engineering, Technology Management, or a closely related field, with 3-4 years of professional and industry experience in AI/ML or STEM leadership.
- Project Management certifications (e.g., PMP, Agile/Scrum certifications) or AI/ML-related fields (e.g., AI/ML certifications from recognized organizations).
- Published research in change management, negotiations, leadership & decision-making, intercultural communications, AI/ML, STEM leadership, or project management, particularly in the context of technical team dynamics and leadership in complex projects.
- Active involvement in professional organizations related to AI, project management, STEM education, or leadership development.
- 3-4 years of experience in project management and leadership within AI/ML or STEM industries, with a proven track record of managing interdisciplinary teams, defining project scope, and driving strategic decisions.
- Expertise in both traditional project management methodologies (e.g., Agile, Scrum) and AI/ML project management practices.
- Expertise in leadership theory, team dynamics, change management, negotiation and decision-making in high-tech environments.
- Excellent communication and interpersonal skills, with the ability to translate complex technical concepts for diverse audiences, including non-technical stakeholders.
- Ability to develop and teach a curriculum that blends theoretical knowledge with practical, hands-on experience.

**Application Materials**

**Applications that do not contain all these elements will not be considered by the hiring committee.**

**Invitation to recorded interview with VidCruiter**

**Diversity and Inclusivity Statement**

The University recogn