Investigador En Aprendizaje Automático Y Ciencia De Datos
Tecnológico de Monterrey
Mexico
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Machine learning and data science expertise
Deep learning or complex system simulation
Large scale data integration and analysis
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Tecnológico de Monterrey is seeking a Machine Learning and Data Science Researcher for its Centro de Primera Infancia (CPI). The ideal candidate will focus on developing innovative research infrastructure, integrating large datasets to inform public policy, and contributing to interdisciplinary projects in early childhood development.
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Job Summary
The role focuses on developing a solid research program using artificial intelligence to understand the interconnection of social, biological, and environmental systems in early human development.
The selected candidate will lead projects attracting external funding and publish findings in high-impact scientific journals such as Scopus Q1 or Q2.
The position requires integrating new computational technologies into research while promoting ethics, transparency, and social responsibility in the use of AI.
Matching Summary
Match Score: 75
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Tecnológico de Monterrey is seeking a Machine Learning and Data Science Researcher for its Centro de Primera Infancia (CPI). The ideal candidate will focus on developing innovative research infrastructure, integrating large datasets to inform public policy, and contributing to interdisciplinary projects in early childhood development.
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Skills & Requirements
Must-have
Machine Learning and Data Science expertise
Deep learning or complex system simulation
Large scale data integration and analysis
FAIR data infrastructure management
Advanced English proficiency
Nice-to-have
Passion for social transformation in Mexico
Collaborative interdisciplinarity mindset
Commitment to ethical AI practices
Experience in public policy contexts
Key Requirements
Completed Doctorate in Computer Science, Data Science, or related field
PhD in Computational Social Sciences or Mathematics Applied
Proven track record in predictive modeling and deep learning
Experience with longitudinal and multisectoral database analysis
Demonstrated ability to attract national or international research funds