FIDAMC seeks a Doctoral Candidate to develop machine learning tools for automated identification, classification, and quantification of defects in composite materials, using high- and low-resolution inspection data. You will train models with XRM and ultrasonic imaging data, and contribute to scholarly publications and international conferences.
The role requires a Master’s degree, English proficiency, and admission to a European doctoral program; collaboration within the LEGEND network is
📌 PhD Candidate: AI for Automated Defect ID in Composites (Madrid)
🏢 FIDAMC
📍 Madrid