Description
Tec de Monterrey – School of Engineering and Sciences,
About Tec de Monterrey
Tec de Monterrey is ranked the No. 1 private university in Mexico and among the top 50 private universities worldwide. We rank in the top 10 in Latin America (QS World University Rankings) and the top 4 in the region (Times Higher Education) and 185 worldwide (QS World University Rankings). We educate over 80,000 students across 31 campuses and 16 international liaison offices, driven by our vision to develop leaders with entrepreneurial spirit, humanistic values, and global competitiveness.
Disruption is the new normal, and at Tecnológico de Monterrey, every morning we wake up with the responsibility of transforming our surroundings. Our processes are people-centered, ensuring extraordinary experiences through our talent and the innovative Educational Model. Here, you’ll find your purpose, seize innovative opportunities, and be part of a collaborative culture based on inclusion, meritocracy, and respect.
Position Overview
We invite applications for a Full-Time Professor in Industrial Engineering (IE) (Assistant, Associate, or Full Professor rank) specializing in Artificial Intelligence (AI) applications. Ideal candidates will apply AI methodologies to optimize supply chain management, logistics, data analytics, or operational excellence (with a focus on Quality). The role requires driving high-impact research, securing competitive funding, and delivering outstanding AI-enhanced curricula at undergraduate and graduate levels.
Expected Start Date: As soon as possible
Location: Mexico City, Monterrey and Queretaro Campus, in Mexico
Key Responsibilities
AI Research Leadership
Develop and lead internationally recognized AI research programs in industrial engineering contexts.
Publish in top-tier AI/IE/engineering/management journals and secure national/international grants.
AI and IE- Enhanced Teaching Excellence
Design and deliver innovative courses integrating AI (machine learning, optimization, predictive analytics) into industrial engineering, logistics, operations research and quality.
Mentor students through hands-on projects, hands-on IE topic-related challenges and laboratory work.
Student Supervision
Supervise Master’s and PhD projects in a collaborative, inclusive research environment.
Curriculum Development
Create AI-driven teaching materials for IE, digital simulations, and case studies to enhance learning outcomes.
Industry Collaboration
Partner with technology companies and government bodies to translate AI research into practice and co-develop real-world solutions.
Requirements
Required Qualifications
Academic Credentials
PhD in Industrial Engineering, Operations Research, or a closely related field.
Experience in Industry will be considered an asset.
Research Record
Proven publication history in high-impact IE/AI/ML/engineering journals and success in securing AI-focused external funding.
Teaching Experience
Demonstrated excellence in teaching IE subjects; experience developing AI curricula/labs is highly desirable.
Language & Communication
Professional fluency in English (minimum B2/TOEFL 550).
Commitment to achieving an intermediate level of Spanish language proficiency (B1) in two years.
Leadership
Experience leading interdisciplinary AI teams and collaborating with industrial partners.
What We Offer
World-Class Environment
Access to state-of-the-art AI laboratories, industry clusters, and interdisciplinary research centers.
Professional Growth
Support for conference travel, grant-writing workshops, and teaching innovation grants.
Competitive Compensation
Rank-appropriate salary and benefits, including relocation/settling-in assistance.
Inclusive Culture
Collaborative, equality-driven workplace prioritizing work-life balance and well-being.
Why work with us?
Our talent is the driving force behind our success. Their talent, dedication, and passion are the fundamental pillars of our organization. That’s why we focus on offering quality benefits that promote emotional balance, financial well-being, and professional development.
Apply by sending your resume to:
Luis Cardenas (Faculty Recruiter): [email protected]
At Tecnológico de Monterrey, we operate under the principle of equal opportunities. Therefore, we do not discriminate based on age, ethnicity, nationality, gender, sexual orientation, marital status, social condition, health status, religious beliefs, political doctrine, or disability.
Thank you for your interest in our job openings. If you are not contacted by the Talent Attraction team, we invite you to continue exploring new opportunities on the Growth Opportunities portal if you are a TEC collaborator. If you are an external candidate, visit jobs.tec.mx and apply to positions that match your profile.
Tec de Monterrey: https://tec.mx/en/our-faculty/join-our-faculty
School of Engineering and Sciences: https://eic.tec.mx/en
Academic Jobs: https://academicjobs.tec.mx/es
