Imon Banerjee

The MI2 Lab at Mayo Clinic, Arizona, is offering a postdoctoral opportunity focused on advancing next-generation multimodal foundational models for clinical translation. The lab specializes in developing scalable AI architectures that integrate imaging, clinical text, and longitudinal EMR data to support precision diagnostics and real-world decision-making across diverse patient populations. This interdisciplinary team operates at the intersection of AI research, clinical practice, and large-scale healthcare data, providing a unique environment for postdocs aiming to make a direct impact on patient care. Research Focus Areas: Multimodal Foundational Models: Pretraining large-scale models across imaging (CT, MRI, mammography), clinical narratives, and structured EMR; learning robust, generalizable representations for downstream clinical tasks; designing model architectures that unify pixel-level, text-level, and temporal signals. Translational AI & Clinical Deployment: Building end-to-end pipelines for clinical workflows; evaluating models for OOD detection, fairness, interpretability, and reliability; collaborating with radiologists and clinicians to co-design real-world tools. Longitudinal Patient Modeling: Predictive modeling over multi-year EMR trajectories; risk stratification for chronic and progressive diseases; early disease detection using multimodal temporal signatures. Ideal Candidate: Applicants should have a PhD in Computer Science and Engineering, a strong background in machine learning, and experience with NLP, medical imaging, or multimodal architectures is preferred. Interest in translational research and cross-disciplinary collaboration is important, along with strong English communication skills. Funding & Benefits: The position offers a competitive salary, comprehensive benefits, and VISA sponsorship for international candidates. Postdocs will have access to Mayo Clinic’s computational resources, imaging archives, EMR datasets, and clinical collaborators, with opportunities to publish in top-tier venues and contribute to real-world clinical tools. Immediate start date is available. Application Process: Interested candidates should email their CV and a brief statement of research interests to [email protected]. For more information, visit the LinkedIn profile or the lab's announcement.

Mayo Clinic and Arizona State University (ASU) are offering exciting PhD and postdoctoral positions in artificial intelligence for healthcare through the AI3 innovation hub. This unique partnership brings together clinical excellence and academic innovation, providing opportunities to work on cutting-edge AI projects aimed at improving patient outcomes. Candidates will have access to extensive clinical datasets and advanced computational resources, and will contribute to impactful research with real-world applications. The environment is supportive, fostering career development and collaboration. Applicants should be highly motivated and have expertise in machine learning, deep learning, medical imaging, or healthcare data science. PhD candidates must hold a BS or MS degree, while postdoctoral researchers should have a PhD. No specific funding details are provided, and the application process involves sending a direct message with a resume. The deadline for applications is December 28, 2024. This opportunity is ideal for those passionate about transforming healthcare through AI.

Mayo Clinic and Arizona State University (ASU) are offering exciting PhD and postdoctoral positions in artificial intelligence for healthcare through the AI3 innovation hub. This unique partnership brings together clinical excellence and academic innovation, providing opportunities to work on cutting-edge AI projects aimed at improving patient outcomes. Candidates will have access to extensive clinical datasets and advanced computational resources, and will contribute to impactful research with real-world applications. The environment is supportive, fostering career development and collaboration. Applicants should be highly motivated and have expertise in machine learning, deep learning, medical imaging, or healthcare data science. PhD candidates must hold a BS or MS degree, while postdoctoral applicants should have a PhD. No specific funding details or application deadlines are provided. Interested individuals are encouraged to send a direct message or comment on the LinkedIn post to connect with the announcer.