Postdoctoral Research Scholar
Core
Develop and apply computational methods, including computer vision and deep learning, to analyze high-speed laryngeal videoendoscopy and multimodal biomedical data for NIH-funded research on vocal fold physiology.
Role type
Postdoctoral Research Scholar (IC)
Builds
Novel computational methods and research outputs for vocal health and voice disorders
Domain
Biomedical engineering, clinical science, and AI
Deliverable
production ML models
Required skills
Python, MATLAB, deep learning (PyTorch/TensorFlow), computer vision, image segmentation, image processing, machine learning
Preferred skills
video analysis, motion tracking, medical image analysis, time-series analysis, speech/acoustic signal processing, scientific software development
Responsibilities
Develop and evaluate computer vision and deep learning approaches for laryngeal image analysis; Analyze and integrate multimodal datasets (imaging, acoustic, physiological); Prepare manuscripts for publication; Mentor graduate and undergraduate researchers; Contribute to collaborative research and grant proposals
Seniority
Postdoctoral, hands-on IC
