
Leading Edge Image Analyst
7 days ago
The WITEC Interdisciplinary Research Group is committed to creating wearable imaging technologies tailored for aging populations.
This position will entail advanced AI solutions for analyzing time-series 2D/3D ultrasound data, applying foundation models to analyze medical imaging data, developing AI-assisted robotic guidance tools, and designing intuitive human-machine interfaces.
Key Responsibilities:- Develop advanced AI solutions for analyzing time-series 2D/3D ultrasound data.
- Apply foundation models to analyze medical imaging data.
- Develop AI-assisted robotic guidance tools for precise and automated ultrasound acquisition.
- Design and test intuitive human-machine interfaces to support non-specialist users in operating wearable ultrasound devices.
- Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis.
- Demonstrated research experience in 2D/3D medical imaging using deep learning methods.
- Solid mathematical background, excellent programming skills, and proficiency in machine learning frameworks such as Python, C/C++, TensorFlow, and PyTorch.
- Extensive experience in applying advanced machine learning and deep learning techniques to medical image analysis tasks.
- Experience in software system engineering and architecture design for AI-based medical applications.
Working in a collaborative team environment with researchers from MIT and Singaporean institutions.
Opportunities for professional growth and development in a dynamic research group.
A chance to contribute to innovative projects that improve quality of life and reduce healthcare burdens.
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