Tecnológico de Monterrey
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Postdoc in AI, Machine Learning, NLP, and Learning Technologies Tecnológico de Monterrey in Mexico
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Mexico
University
Tecnológico de Monterrey

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About this position
Technológico de Monterrey is advertising a Postdoctoral Researcher position in AI & Learning Technologies at its IFE Institutional area in Monterrey, Mexico. The role is centered on high-impact interdisciplinary research in educational innovation, with a strong emphasis on Machine Learning, Natural Language Processing, Large Language Models, and data-driven analysis for learning and educational transformation.
The postdoc will design and conduct applied research in education, develop or adapt ML/NLP/LLM solutions for educational environments, analyze complex data using statistical and computational methods, and publish scientific articles in high-impact indexed international journals. The position also involves collaboration with national and international interdisciplinary teams and participation in research proposals and external funding strategies.
Applicants should have a completed PhD in Computing, Artificial Intelligence, Informatics, Statistics, Applied Mathematics, or a related field, earned within the last 10 years. The post also seeks candidates with proven experience in ML, NLP, or LLM implementation, applied research experience, interdisciplinary collaboration, Scopus-indexed publications (preferably Q1/Q2), and strong academic English and scientific writing skills.
This is a research-focused postdoctoral opening rather than a scholarship. The post does not mention a funding package, stipend, or deadline. Applications are submitted through the Tecnológico de Monterrey jobs portal.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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