Postdoctoral Associate

Posting DescriptionPOSTDOCTORAL ASSOCIATE, Mechanical Engineering - The 77 Lab, to conduct research at the intersection of computer vision, computer graphics, deep learning, digital health, and interactive simulation; and develop AI-driven methods for video-based human movement analysis, with an emphasis on sensing, pose estimation, skeleton-based learning, and implementation on mobile edge devices such as smartphones and tablets for estimating clinical scores from patient videos. In parallel, the candidate will contribute to the development of high-fidelity Unity-based simulation environments for human-in-the-loop experimentation, operator training, data generation, and multimodal system evaluation.Job RequirementsREQUIRED: PhD in computer science, electrical engineering, mechanical engineering, biomedical engineering, robotics, computer graphics, or a related field at the time of hire; and strong track record of academic publications; research experience in computer vision and machine learning, preferably including human pose estimation, video understanding, skeleton-based learning, spatiotemporal models, graph neural networks, transformers, or multimodal learning; strong programming skills in Python and at least one systems-level or real-time programming language such as C, C++, or C#; experience with modern deep-learning frameworks such as PyTorch or TensorFlow; experience with Unity, real-time simulation, computer graphics, physics-based environments, 3D scene design, rendering, or game-engine development; knowledge of Linux-based development, software architecture, system integration, and reproducible research workflows; ability to work in a multidisciplinary research environment involving engineers, clinicians, postdoctoral associates, graduate students, and external collaborators.The position is available for one year with the possibility of extension based on availability of funds.Application Instructions: Please submit a summary of qualifications and their relevance in less than 300 words, a CV, available start date, and name and e-mail address of at least three references. #J-18808-Ljbffr Massachusetts Institute of Technology