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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 publishing in high-impact journals and securing external funding. Proficient in designing innovative curricula that integrate machine learning and optimization while mentoring students in a collaborative research environment.
Highest-signal resume keywords
PhD In Industrial EngineeringProven Publication History In High-Impact JournalsExperience Leading Interdisciplinary AI TeamsSuccess In Securing AI-Focused External FundingDemonstrated Excellence In Teaching Industrial Engineering Subjects
ATS Keywords
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Hard Skills
Machine LearningOptimizationPredictive AnalyticsCurriculum DevelopmentResearch Program DevelopmentGrant WritingLaboratory SupervisionInterdisciplinary CollaborationDigital Simulation CreationCase Study Development
Soft Skills
MentoringCollaborationInclusive LeadershipCommunication
Industry Keywords
Industrial EngineeringOperations ResearchAI ResearchLogisticsQuality ManagementInterdisciplinary TeamsIndustry CollaborationTeaching ExcellenceExternal FundingAI 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
- Professional fluency in English (minimum B2/TOEFL 550)
- Commitment to achieving intermediate Spanish language proficiency (B1) within two years
- Experience leading interdisciplinary AI teams
- Experience collaborating with industrial partners
- Experience in industry is considered an asset
- Experience developing AI curricula/labs is highly desirable
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
- Relocation/settling-in assistance
- Rank-appropriate benefits
- Collaborative, equality-driven workplace prioritizing work-life balance and well-being
- Quality benefits promoting emotional balance, financial well-being, and professional development