AI Engineer
Develop AI models for biomedical signals, imaging, and multimodal data, advancing algorithms from research validation toward clinical and intelligent medical-device applications.
We are recruiting AI and hardware engineers and welcome researchers at every stage, from undergraduate students to postdoctoral fellows, to advance neuroengineering, intelligent medical devices, and translational biomedical research.
Our research process brings engineering, neuroscience, data science, and clinical perspectives together. Members learn not only to operate technologies, but to frame questions, build systems, collaborate across domains, and move results toward use.
Develop AI models for biomedical signals, imaging, and multimodal data, advancing algorithms from research validation toward clinical and intelligent medical-device applications.
Design and integrate biomedical sensing, analog and digital electronics, embedded systems, and device prototypes that turn research concepts into testable medical technologies.
Lead focused research themes, integrate methods across disciplines, and build independence through international collaboration.
Develop rigorous research from consequential scientific questions, with training across neuroengineering, imaging, AI, and translation.
Build capability in system design, experimental validation, data analysis, and scientific communication within an interdisciplinary team.
Enter a real research environment early through focused projects, close mentorship, and outcome-oriented training.