Gilberto Ochoa-Ruiz

Tecnológico de Monterrey is hiring a postdoctoral researcher for its School of Engineering and Sciences at the Guadalajara Campus/Santa Fe, Mexico. The project focuses on robust, privacy-preserving federated learning and trustworthy artificial intelligence. Research topics include cybersecurity and deepfake detection, medical imaging and computer vision, robust federated learning under non-IID data distributions, trust-based aggregation, adversarial robustness, deep learning, and distributed AI systems. The successful researcher will develop novel methodologies, implement and evaluate federated learning frameworks, and publish in high-impact scientific journals. Applicants should hold a PhD in Computer Science or a related field and demonstrate strong machine learning and deep learning experience, with proficiency in Python and PyTorch. Experience in federated learning, computer vision, and robust AI is especially welcome. The researcher will collaborate with Gilberto Ochoa Ruiz, M.R. Leyva, and Ivan Reyes on trustworthy AI, cybersecurity, and medical applications. Apply through the provided application link. The announcement states that applicants should not contact the team by email and that only shortlisted candidates will be contacted.