Shaping research directions and producing results. Topics include but are not limited to: Anomaly detection and pattern recognition in visual data; Multimodal fusion; Thermal imaging; Unsupervised and self-supervised learning; Data simulation and synthesis; Disseminating results through scientific publications; Collaborating with multiple project stakeholders from a large European consortium; Carry out high-impact research within an interdisciplinary context
Requirements:
A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.); A previous experience in European projects would be a plus; Strong development skills in Python; Strong mathematical background
Text:
Research Associate in Computer vision-based anomaly detection Shaping research directions and producing results. Topics include but are not limited to: Anomaly detection and pattern recognition in visual data; Multimodal fusion; Thermal imaging; Unsupervised and self-supervised learning; Data simulation and synthesis; Disseminating results through scientific publications; Collaborating with multiple project stakeholders from a large European consortium; Carry out high-impact research within an interdisciplinary context A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.); A previous experience in European projects would be a plus; Strong development skills in Python; Strong mathematical background
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