Assistant Professor (RTDA) in Computer Vision at University of Trento We are seeking a highly motivated and promising early-career researcher who is passionate about advancing the field of computer vision and its intersection with natural language processing. The successful candidate will be expected to develop an independent research agenda while actively collaborating with other members of the Department and the broader AI research community. The candidate will be encouraged to pursue fundamental research in vision-language models and will have the freedom to explore a variety of directions, including but not limited to: Vision-language reasoning Multimodal interpretability and transparency Fairness, bias detection, and mitigation in VLMs Compositionality and generalization in multimodal learning Responsibilities Develop an independent research agenda while actively collaborating with other members of the Department and the broader AI research community. Pursue fundamental research in vision-language models and have the freedom to explore a variety of directions, including but not limited to: Vision-language reasoning Multimodal interpretability and transparency Fairness, bias detection, and mitigation in VLMs Compositionality and generalization in multimodal learning Qualifications A Ph.D. in Computer Science or a closely related field A strong research track record in Computer Vision, Multimodal Learning, or related areas At least two publications in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ACL, or EMNLP Excellent communication skills and a collaborative attitude. J-18808-Ljbffr