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Full-Time Professor – Industrial Engineering, Multiple Ranks
Tecnológico de Monterrey. Develop and lead internationally recognized AI research programs in industrial engineering contexts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and leading AI research programs within industrial engineering, with a strong focus on securing funding, publishing in high-impact journals, and delivering innovative curricula. Proven ability to mentor students and collaborate with industry partners to translate research into practical applications.
Highest-signal resume keywords
PhD In Industrial EngineeringProven Publication HistoryAI-Focused External FundingExperience Leading Interdisciplinary AI TeamsProfessional Fluency In English
ATS Keywords
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Hard Skills
Machine LearningOptimizationPredictive AnalyticsCurriculum DevelopmentResearch Program DevelopmentGrant WritingTeaching ExcellenceLaboratory SupervisionDigital SimulationsCase Study Creation
Soft Skills
MentoringCollaborationInclusivity
Industry Keywords
Industrial EngineeringOperations ResearchAI ResearchLogisticsQualityInterdisciplinary TeamsIndustry CollaborationGovernment PartnershipsHands-On ProjectsAI Curricula
About the role
Key responsibilities & impact- Develop and lead internationally recognized AI research programs in industrial engineering contexts
- Publish in top-tier AI/IE/engineering/management journals
- Secure national and international grants
- Design and deliver innovative courses integrating machine learning, optimization, and predictive analytics into industrial engineering, logistics, operations research, and quality
- Mentor students through hands-on projects, IE topic-related challenges, and laboratory work
- Supervise Master’s and PhD projects in a collaborative, inclusive research environment
- Create AI-driven teaching materials, digital simulations, and case studies
- Partner with technology companies and government bodies to translate AI research into practice
- Co-develop real-world solutions with industry and government partners
Requirements
What you’ll need- PhD in Industrial Engineering, Operations Research, or a closely related field
- Proven publication history in high-impact IE/AI/ML/engineering journals
- Success in securing AI-focused external funding
- Demonstrated excellence in teaching Industrial Engineering subjects
- Experience developing AI curricula/labs is highly desirable
- Professional fluency in English (minimum B2/TOEFL 550)
- Commitment to achieving an intermediate level of Spanish language proficiency (B1) in two years
- Experience leading interdisciplinary AI teams
- Experience collaborating with industrial partners
- Experience in industry will be considered an asset
Benefits
Comp & perks- Access to state-of-the-art AI laboratories, industry clusters, and interdisciplinary research centers
- Support for conference travel
- Grant-writing workshops
- Teaching innovation grants
- Rank-appropriate salary and benefits
- Relocation/settling-in assistance
- Collaborative, equality-driven workplace
- Work-life balance and well-being
- Quality benefits promoting emotional balance, financial well-being, and professional development