Cambridge
Posting Description
POSTDOCTORAL ASSOCIATE, Institute for Medical Eng. and Science (IMES) — The Device Realization Lab, seeks an outstanding Postdoctoral Associate to conduct device, computational, and experimental research in human sensing in daily life. The position will focus on the development, validation, and deployment of non-contact and minimally burdensome sensing technologies for health monitoring in home, clinical, and community settings. The work sits at the intersection of biomedical sensing, digital health, clinical translation, human-centered data science, and real-world health monitoring. The research will involve sensing and analysis methods for assessing human health, function, behavior, and well-being outside traditional clinical environments. Relevant systems may include non-contact sensors, imaging systems, wearable or ambient sensing platforms, physiological monitoring tools, movement and activity sensing, environmental sensing, and multimodal data integration methods. The work will emphasize not only technical development, but also validation, usability, deployment, and interpretation in real-world settings involving patients, caregivers, clinicians, and community participants.
The full job description is available here: https://acrobat.adobe.com/id/urn:aaid:sc:va6c2:ec863f47-6bf9-4cf7-b7c2-64ec2c8d74cc
Job Requirements
REQUIRED : PhD, ScD, MD, MD/PhD, or equivalent doctoral degree in engineering, biomedical engineering, computer science, health sciences, neuroscience, public health, medicine, or a related field; experience with multi-modal data and large language models; experience conducting human-subjects research; demonstrated record of peer-reviewed publications; experience working with physiological, behavioral, movement, imaging, or sensor-derived data; strong written and verbal communication skills; ability to work effectively across multidisciplinary teams; experience in digital health, remote monitoring, human sensing, medical devices, or clinical informatics; experience with machine learning, signal processing, computer vision, or multimodal sensor systems; experience collaborating with clinical investigators, healthcare organizations, or community-based research partners; and experience supporting grant development, sponsored research, or external partnerships.
6/16/2026