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.
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.
- 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.
Apply by sending
your resume
to:
Luis Cardenas (Faculty Recruiter): lcardenas@tec.mx
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.
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.
https://tec.mx/es/profesores/unete https://academicjobs.tec.mx/es LinkedIn: Tecnológico
de Monterrey
