Tecnológico de Monterrey
6 days ago
Postdoctoral Researcher in Cybersecurity and Machine Learning 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 Cybersecurity and Machine Learning at its Guadalajara / Zapopan, Mexico location. The project focuses on developing advanced AI models, including machine learning, deep learning, and generative AI, for detecting cybersecurity threats such as malware, network intrusion, ransomware, botnets, and disinformation.
The role is research-intensive and applied: the selected postdoc will design and develop models, work with structured and unstructured network data (for example NetFlow, packet captures, and logs), build preprocessing and feature engineering pipelines, evaluate models, and validate a functional prototype in an operational environment. The postdoc will also collaborate with multidisciplinary teams and publish findings in high-impact journals and conferences.
Required background includes a PhD in Computer Science, Cybersecurity, Data Science, or a closely related field; strong ML/deep learning skills; Python and frameworks such as scikit-learn, TensorFlow, or PyTorch; cybersecurity experience; familiarity with tools such as Zeek, Caldera, Suricata, Snort, and Wireshark; and strong scientific writing plus English reading/writing ability.
Application materials requested: detailed CV, publication list, awards/recognitions, potential start date, a short statement of previous work and research interests, contact information for three referees, and a PDF of a recent representative publication. Contact listed: Karen Ortiz Salcedo ([email protected]).
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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