Full-Time Professor in Data Science

Location: Monterrey Campus

Disruption is the new normal, and at Tecnológico de Monterrey, we wake up every morning with the responsibility to transform our environment. Our processes are people-centered, ensuring extraordinary experiences alongside our talent and the 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.

What Will You Do?

In this role, you will support teaching in Mathematics and Data Science at both undergraduate and graduate levels. You will strengthen the department's capacity in Sciences and play a key role in consolidating engineering programs, especially in Data Science. Additionally, you will collaborate with other departments on joint projects and contribute to educational innovation with Data Science-based projects.

Your Main Challenges Will Be:

• Teach four courses per semester in the sciences department.

• Obtain funding for research projects from private and public sectors.

• Advise graduate students.

• Promote the development of research projects among undergraduate and graduate students.

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What Are We Looking For?

• PhD in Science with a specialization in Mathematics, Data Science, Neural Networks, or AI.

• Membership in the National System of Researchers (SNI).

• Advanced English proficiency (minimum C1 level or 600 TOEFL points).

• Industry experience is desirable.

• At least 5 years of teaching experience.

Why Work With Us?

Our talent drives our success. Your skills, dedication, and passion are the foundational pillars of our organization. Therefore, we focus on offering quality benefits that promote your emotional balance, financial well-being, and professional development.

Contact: Johana Galván

Email: Johana.galvan@tec.mx

At Tec de Monterrey, we act under the principle of equal opportunity. We do not discriminate based on age, ethnicity, nationality, gender, sexual orientation, marital status, social status, health condition, religious beliefs, political doctrine, or disability.

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