Centre Tecnologic De Telecomunicacions De Catalunya
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Postdoc in Physics-Guided Learning and Operator-Theoretic System Identification for Anomaly Detection Centre Tecnològic de Telecomunicacions de Catalunya in Spain
Degree Level
Postdoc
Field of study
Computer Science
Funding
2-year postdoctoral position. The post does not specify stipend amount or additional benefits in the text provided.
Deadline
Oct 21, 2026
Country
Spain
University
Centre Tecnologic De Telecomunicacions De Catalunya

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About this position
Open call for a 2-year postdoctoral position at the Sustainable Artificial Intelligence (SAI) research group within the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) in Barcelona, Spain.
The project focuses on physics-guided learning and operator-theoretic system identification for anomaly detection and novelty detection in complex dynamical systems. The research aims to detect sophisticated events such as cyber-attacks during transient conditions, improve domain generalization to unseen anomalies, and reduce training-data and computational overhead.
Potential application areas include vehicular systems, industrial automation, environmental modeling, and robotics. This is a strong fit for candidates with backgrounds in computer science, electrical engineering, mathematics, or related AI/system identification fields.
The tentative start date is in the fourth quarter of 2026. The application deadline is 2026-10-21. The post asks interested candidates to send a CV and research area, and more information is available through the application link.
Funding details
2-year postdoctoral position. The post does not specify stipend amount or additional benefits in the text provided.
What's required
Applicants should have a research background aligned with physics-guided learning, operator-theoretic system identification, anomaly detection, or related AI/machine learning areas. The post is for a postdoctoral researcher; a PhD is implied for eligibility. The call asks candidates to send a CV and research area.
How to apply
Review the application instructions at the provided link and submit the requested materials. The post specifically asks candidates to send their CV and research area. Use the contact emails if you need clarification.
More information can be found here
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