Post-Doctoral Research Fellow - Laryngology AI
Core
Develop and validate machine learning and computer vision algorithms for real-time analysis of laryngoscopy videos to track laryngeal anatomy and support clinical decision-making.
Role type
Post-doctoral research fellow (AI/ML in clinical laryngology)
Builds
Production-ready AI models and quantitative metrics for laryngoscopy analysis
Domain
Healthcare / Laryngology / Computer Vision
Deliverable
production ML models
Required skills
deep learning, computer vision, video analysis, temporal modeling, Python, PyTorch, TensorFlow, OpenCV, model evaluation, reproducible research pipelines
Preferred skills
DeepLabCut, GPU acceleration, cloud computing, grant writing, scientific publication
Technologies
Python, PyTorch, TensorFlow, Keras, OpenCV, Git, Linux/Unix
Responsibilities
Curate and manage clinical video datasets; develop algorithms for laryngeal structure tracking and classification; translate model outputs into clinical metrics; collaborate with clinicians to validate workflows; mentor junior staff and students.
Seniority
Post-doctoral, independent researcher