Postdoctoral Research Scholar

University of Central Florida • Orlando, FL

1d • Onsite

About The Position

The Voice and Speech Informatics (VSI) Lab in the School of Communication Sciences and Disorders at the University of Central Florida seeks a highly motivated postdoctoral researcher with a strong engineering and computational background. The position is based at UCF’s Main Campus in Orlando, Florida, with an anticipated start date of April 2027.

The scholar will primarily develop and apply computational methods to analyze high-speed laryngeal videoendoscopy recordings, with opportunities to work on acoustic, physiological, and wearable-sensor data. Research will use computer vision, machine learning, deep learning, and multimodal data analysis in support of NIH-funded research on vocal fold physiology and laryngeal imaging. The successful candidate will join an interdisciplinary research environment and have opportunities to develop computational methods, publish research, mentor students, and contribute to ongoing NIH-funded projects.

The VSI Lab develops methods combining machine learning, computer vision, signal processing, and multimodal analysis to study voice production, vocal physiology, and vocal health. Its research uses laryngeal imaging, aerodynamic, electroglottographic, acoustic, physiological, and ambulatory monitoring data. The lab collaborates with investigators across the Communication Technologies Research Collaborative (CTRC), with access to diverse datasets, advanced instrumentation, and high-performance computing resources.

Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Computer Science, or a related field.
• Proficiency in Python and/or MATLAB.
• Experience with deep learning, including PyTorch and/or TensorFlow.
• Experience developing, training, and evaluating computer vision and image segmentation models.
• Strong foundations in image processing and machine learning.

Nice To Haves

• Experience with video analysis, motion tracking, or object tracking.
• Experience with medical image analysis.
• Experience with time-series analysis.
• Experience with speech, voice, or acoustic signal processing.
• Experience with scientific software development, version control, and reproducible research practices.

Responsibilities

• Develop and evaluate computer vision, machine learning, and deep learning approaches for analyzing laryngeal images and related biomedical data.
• Analyze and integrate multimodal datasets, including laryngeal imaging, acoustic, aerodynamic, electroglottographic, physiological, and ambulatory monitoring data.
• Prepare manuscripts for peer-reviewed journals and present findings at scientific conferences.
• Mentor graduate and undergraduate researchers in the lab.
• Contribute to collaborative research, including developing grant proposals and new research initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree