Postdoctoral Researcher - AI

TEC; Chihuahua; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

Tecnológico de Monterrey seeks an AI research professional to lead applied research projects focused on the construction industry in northern Mexico. You will design, develop, and implement AI solutions in collaboration with researchers and industry partners, publishing results in top venues and mentoring graduate students.

The role emphasizes translating real-world industrial challenges into formal AI problems and delivering MVPs and deployable prototypes while contributing to the

Qualifications

• Ph.D. required in AI, data science, CS, engineering, or related field.
• Strong publication record and industry-oriented research interest.

Responsibilities

• Design and execute applied AI research projects for the construction sector.
• Translate industrial challenges into formal AI research problems.
• Develop models and systems in ML/DL, CV, generative models, multi-objective optimization, and NLP/LLMs.
• Collaborate with industry partners to build prototypes, MVPs, and real-world deployments.
• Publish findings in high-impact conferences and journals.
• Supervise graduate students and contribute to transferable assets (software, datasets, methodologies).

Skills

Python (PyTorch/TensorFlow)

ML/DL modeling

Interdisciplinary collaboration

Research publications

Education

Ph.D. in AI/CS/Engineering or related field

Tools

PyTorch

TensorFlow

Job description

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.

Application requirements:

• Detailed CV, list of publications, awards and recognitions, and potential start date.
• Short statement of previous work, research interests and his/her future vision on the field.
• Names and contact information of three referees

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.