Job Description

Full-Time Professor of Industrial Engineering - Campus Chihuahua

Tec de Monterrey – School of Engineering and Sciences, Campus Chihuahua

About Tec de Monterrey Tec de Monterrey is recognized as the #1 private university in Mexico and is among the top 50 private universities in the world. We are in the top 10 in Latin America (QS World University Rankings) and top 4 in the region (Times Higher Education), as well as ranked 185th globally (QS World University Rankings). We educate more than 80,000 students across 31 campuses and 16 international offices, guided by our vision of forming leaders with an entrepreneurial spirit, humanistic values, and global competitiveness.

Disruption is the new normal, and at Tecnológico de Monterrey, we wake up every day with the responsibility to transform our environment. Our processes are person-centered, ensuring extraordinary experiences through our talent and innovative Educational Model. Here you will find your purpose, seize innovative opportunities, and be part of a collaborative culture based on inclusion, meritocracy, and respect.

We invite applications for the position of Full-Time Professor in Industrial Engineering (Assistant, Associate, or Full Professor level) 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 exceptional teaching by integrating AI into undergraduate and graduate programs.

Expected start date: As soon as possible

Location: Campus Chihuahua, Mexico

Key Responsibilities

• Teaching courses with high academic quality standards in areas of industrial engineering, optimization, logistics, operations research, and process analytics.
• Actively participate in the academic communities of the School of Engineering and Sciences.
• Incorporate data analytics tools, process simulation, and digital technologies into teaching.
• Supervise applied projects with students focused on industrial process improvement.
• Comply with institutional training and at least 40 hours of disciplinary updating per year.
• Participate in student attraction and retention activities with positive evaluations.
• Participate in outreach projects with companies, academic consulting, or applied research in operational efficiency.
• Guide students through hands-on projects, challenges related to industrial engineering topics, and laboratory work.

Requirements

Academic Background:

• PhD in Industrial Engineering, Operations Research, Logistics, Supply Chain, or related areas.
• Industry experience will be considered an advantage.

Experience:

Proven experience in higher education teaching in engineering. Experience in process optimization, logistics, analytics, or operations management. Desirable participation in applied research projects or industrial consulting. Experience in collaboration with companies or process improvement projects. Desirable experience in data analytics, simulation, or optimization tools. Teaching Experience Demonstrated excellence in teaching industrial engineering topics. Language and Communication Professional proficiency in English (minimum level B2 / TOEFL 550).

Offer

• World-Class Environment Access to cutting-edge AI laboratories, industrial clusters, and interdisciplinary research centers.
• Professional Growth Support for conference attendance, grant writing workshops, and educational innovation funds.
• Competitive Compensation Salary and benefits commensurate with level, including relocation and settling-in support.
• Inclusive Culture Collaborative work environment based on equality, with a focus on work-life balance and well-being.

Why work with us?

Our talent is the engine of our success. Their dedication and passion are the fundamental pillars of our organization. Therefore, we focus on offering quality benefits that promote emotional balance, financial well-being, and professional development. At Tecnológico de Monterrey, we operate under the principle of equal opportunity.

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 vacancies. If you are not contacted by the Talent Attraction team, we invite you to continue exploring opportunities in the Growth Opportunities Portal if you are a Tec employee. If you are an external candidate, visit jobs.tec.mx and apply for vacancies that match your profile.