Ruogu Fang

The Smart Medical Informatics Learning and Evaluation (SMILE) Lab at the University of Florida is recruiting for fully funded PhD and postdoctoral positions for 2025–2026, with additional opportunities for RA and internship roles. The lab, led by Ruogu Fang , works at the intersection of neuroscience, artificial intelligence, intelligent agents, brain-inspired AI, multimodal learning, affective computing, and cognitive modeling . Research directions highlighted in the post include brain world models , agentic AI / agentic systems , neuroscience × AI , medical AI , generative AI , foundation models , LLMs , and digital twins . The lab also mentions NSF-supported work on brain-inspired AI education and next-generation AI learning platforms. Funding is described as fully funded , supported by new NIH and NSF funding. The post specifically states that multiple fully funded PhD positions and fully funded postdoc positions are open. Remote and summer RA/internship options are also mentioned. Preferred applicants have a background in Computer Science, AI, Electrical Engineering, Statistics, Mathematics, Neuroscience, or Biomedical Engineering . Strong Python and deep learning skills are expected, and experience with PyTorch , LLMs/VLMs , reinforcement learning , or multimodal data is a plus. The lab also values prior publications in top AI venues and strong self-motivation for interdisciplinary research. To apply, email your CV to [email protected] with the subject line format provided in the post. The lab website’s Openings page is also referenced for more details.

The Smart Medical Informatics Learning and Evaluation (SMILE) Lab at the University of Florida is recruiting for fully funded PhD and postdoctoral positions for 2025–2026, with additional opportunities for RA and internship roles. The lab, led by Ruogu Fang , works at the intersection of neuroscience , artificial intelligence , brain-inspired AI , agentic systems , multimodal learning , and medical AI . Research directions mentioned in the post include brain-inspired AI , agentic AI / agentic systems , brain world models , neuroscience × AI , affective computing , emotional AI , generative AI , foundation models , LLMs , and digital twins . The lab also highlights NSF-supported work in brain-inspired AI education and next-generation AI learning platforms. Preferred applicants have a background in computer science , AI , electrical engineering , statistics , mathematics , neuroscience , or biomedical engineering . Strong programming skills in Python and deep learning frameworks such as PyTorch are important. Experience with LLMs , VLMs , reinforcement learning , or multimodal data is a plus. The lab also values prior publications in top AI venues and strong self-motivation for interdisciplinary research. Funding is described as fully funded , supported by new NIH and NSF funding. The post invites motivated students and researchers to email a CV to the PI and follow the lab website for more details. Application is by email to [email protected] with the subject line format: [Position] – [Name] – [Current Institution] . The lab website’s Openings tab is also referenced for additional information.