Professor of Data Science & Mathematics — Shape the Future

Tecnológico de Monterrey; Estado de México; On-site; MXN 900,000 - 1,200,000; Full time

Job summary

Tecnólogo de Monterrey seeks a Full-Time Professor of Data Science and Mathematics to advance teaching and research across undergraduate and graduate programs at the Estado de Mexico campus. The role emphasizes strengthening Statistics, Optimization, and AI areas, collaborating with departments such as Computer Science and Industrial Engineering, and contributing to educational innovation.

The candidate will help develop highly competitive students, elevate faculty excellence, and position

Qualifications

• Ph.D. in Science with specialization in Mathematics is required.
• Experience in Analysis, Statistics, Optimization, Data Science, and AI is expected.
• Publications or international conference participation in recent years is preferred.

Responsibilities

• Design and deliver rigorous and challenging learning experiences aligned with international standards.
• Strengthen and update the program in Data Science and Mathematics for undergrad and grad levels.
• Contribute to research, external engagement, or relevant academic output.
• Collaborate with faculty to strengthen institutional positioning and impact.
• Teach courses at the Estado de México Campus for undergraduate and graduate programs.
• Support Consulting and Continuing Education growth in Statistics, Data Science, and AI by attracting external funding.

Skills

Data Science

Mathematics

Statistics

Optimization

Artificial Intelligence

Education

Ph.D. in Science with specialization in Mathematics

Job description

Tecnólogo de Monterrey seeks a Full-Time Professor of Data Science and Mathematics to advance teaching and research across undergraduate and graduate programs at the Estado de Mexico campus. The role emphasizes strengthening Statistics, Optimization, and AI areas, collaborating with departments such as Computer Science and Industrial Engineering, and contributing to educational innovation.

The candidate will help develop highly competitive students, elevate faculty excellence, and position