Postdoctoral Researcher - AI

Aimlroles; Chihuahua; On-site; MXN 420,000 - 540,000; Full time

Job summary

The Postdoctoral Researcher – AI at Tecnológico de Monterrey seeks an accomplished researcher to advance AI solutions for the construction sector in northern Mexico. You will design, develop, and implement ML/DL models, collaborating with PhD students, researchers, and industry partners, and publish results in top venues.

You will translate complex industrial challenges into rigorous research problems, contribute to transferable assets, and mentor graduate students while advancing the

Qualifications

• PhD in AI/DS/CS/Engineering.
• Experience developing ML/DL models and Python programming.
• Strong publication record; experience or interest in industry-applied research.

Responsibilities

• Lead applied AI research projects in the construction sector.
• Translate industrial challenges into formal AI research problems.
• Develop models in ML/DL, CV, NLP; explore generative models and optimization.
• Collaborate with researchers, PhD students, and industry partners; deploy MVPs.
• Publish findings in high-impact conferences and journals.
• Co-supervise graduate students and contribute to transferable assets.

Skills

ML/DL models

Python programming

PyTorch

TensorFlow

Publications

Applied research

Education

PhD in AI/DS/CS/Engineering

Job description

Postdoctoral Researcher – AI

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.

What will you do?

Position Mexico as a leader in the development of trustworthy, applied AI with significant economic and social impact, starting with the construction sector in northern Mexico by designing, developing, and implementing AI solutions to address real-world challenges in collaboration with researchers, PhD students, and industry partners.

Your main challenges will be:

Design and execute applied AI research projects focused on the construction industry.

Translate complex industrial challenges into formal AI research problems.

Develop models and systems in areas such as Machine Learning/Deep Learning, Computer Vision, generative models, multi-objective optimization (costs, timelines, and risks), and NLP/LLMs.

Collaborate with companies in the sector to develop prototypes, minimum viable products (MVPs), and real-world field deployments.

Publish research findings in high-impact conferences and journals.

Contribute to talent development through the co-supervision of graduate students.

Contribute to the development of transferable technological assets (software, datasets, and methodologies).

What are we looking for?

Ph.D. in Artificial Intelligence, Data Science, Computer Science, Engineering, or a related field.

Demonstrated experience in developing ML/DL models and programming in Python (PyTorch, TensorFlow, or other frameworks); a strong track record of relevant academic publications; experience or interest in industry-oriented applied research; and the ability to work in interdisciplinary environments.

Preferred Qualifications (Differentiators): Experience in sectors such as construction, manufacturing, or infrastructure; knowledge of BIM, CAD, and geospatial data; expertise in optimization and simulation (digital twins); experience in technology transfer or entrepreneurship; and an interest in developing trustworthy, explainable, and traceable AI systems.

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.