Research Engineer (F/H) – Complex Visual Anomaly Detection Using Very Weakly Supervised Learning: Studies, Applications, and Transfer of Visual Large Model Methods to the Industry of the Future at UTC

The PostGenAI project is recruiting a research scientist to conduct a scientific study comparing vision-language model performance in detecting complex visual anomalies in industry. The role involves defining evaluation criteria and model-deployment configurations, running experiments, analyzing costs, proposing industrial transfer recommendations, and writing scientific papers. The position requires an engineering or master's degree, Python programming, knowledge of AI architectures based on LLMs and VLMs, and knowledge of visual defect inspection. It is a fixed-term contract of 18 months planned for October 2026, with 37.5 hours per week and a gross monthly salary depending on experience and funding.