Navid Asadi

The University of Florida, under the supervision of Associate Professor Navid Asadi, is seeking a postdoctoral researcher to join a dynamic team working at the intersection of Artificial Intelligence, Virtual Reality, and Eye-Tracking. The position focuses on advanced packaging and metrology, with a strong emphasis on designing and evaluating immersive experimental studies. The successful candidate will work with multimodal datasets, including eye-tracking, behavioral, and performance metrics, to decode complex visual attention and learning processes. This role offers the opportunity to collaborate with cross-functional development teams to integrate real-time eye-tracking into VR instructional tools, advancing the field of Human-Computer Interaction (HCI) and AI-driven insights in immersive environments. The research is highly interdisciplinary, combining elements of computer science, information technology, and cognitive science, and is ideal for candidates passionate about the future of immersive technology. Applicants should have a PhD in Computer Science, HCI, or a related field, with experience in AI, VR, eye-tracking, and multimodal data analysis. The position is based in Gainesville, Florida, United States, and offers a collaborative environment at a leading research institution. Interested candidates are encouraged to contact Prof. Navid Asadi directly at [email protected] for more information or to express their interest.

Immediate postdoctoral opening at the University of Florida with Navid Asadi for research at the intersection of artificial intelligence , machine learning , computer vision , large language models (LLMs) , and vision-language models (VLMs) . The role focuses on developing AI-driven inspection platforms for the physical inspection of electronics and failure analysis . The postdoc will work on multimodal inspection data, automated defect detection, diagnostics, and scalable AI-powered inspection tools, combining model development with software and systems engineering. This opportunity is aimed at researchers with a PhD in Computer Science, AI, Machine Learning, or related fields . Strong interest in applied AI systems, intelligent inspection technologies, and multimodal analysis is especially relevant. Funding, stipend, and deadline are not specified in the post. Interested candidates should contact [email protected] directly to inquire and apply.