ResponsibilitiesAll fellows will:•* Conduct research and development in the emerging field of medical AI, from study design through publication, in settings such as emergency medicine, critical care, surgery, space, and military medicine•* Work with large multi-source clinical datasets, including time-series physiological data, demographics, behavioral and psychological assessments, video, audio, electronic health records (EHR), and clinical performance outcomes•* Contribute to the development and evaluation of AI-based medical simulation applications and real-time clinical decision support systems•* Lead first-author manuscripts and conference presentations, and contribute to grant proposals•* Collaborate closely with clinicians, engineers, and scientists, and help mentor students and junior team membersComputational Track fellows will focus on:•* Designing and developing software architectures and data pipelines for AI-based solutions•* Training, fine-tuning, and evaluating ML/AI models, including neural networks, large language models, and computer vision models•* Integrating AI models with large clinical databases and deploying them in simulation and real-time clinical environmentsClinician-Scientist Track fellows will focus on:•* Identifying clinically meaningful problems and translating them into AI research questions and study designs•* Designing and conducting simulation-based and clinical studies, including writing IRB protocols and leading data collection•* Defining clinical ground truth, including expert annotation of video, audio, physiological, and EHR data•* Evaluating AI systems, including large language models, for clinical accuracy, safety, bias, and usability, and studying how clinicians interact with AI tools•* Building hands-on skills in data analysis, programming, and AI through mentored projects and available training opportunities Qualifications . Anticipated Start Date: February, 2027 (flexible)DescriptionThe NEIL AND ELISE WALLACE STRATUS Center for Medical Simulation at BWH is committed to advancing medical education, patient safety, and healthcare outcomes through cutting-edge applications of medical simulation technologies supported by innovative curricula, contemporary educational methodologies, continuous improvement, and rigorous, multidisciplinary research.