Postdoctoral Research Scholar

The Opportunity

The Voice and Speech Informatics (VSI) Lab in The School of Communication Sciences and Disorders at the University of Central Florida is seeking a highly motivated Postdoctoral Research Associate with a strong engineering and computational background. This position is located at the UCF Main campus in Orlando, Florida, with an anticipated start date April 2027.

The postdoctoral scholar will work primarily on the development and application of computational methods for the analysis of high-speed laryngeal videoendoscopy recordings, with additional opportunities to contribute to projects involving acoustic, physiological, and wearable-sensor data. Research activities will involve computer vision, machine learning, deep learning, and multimodal data analysis.

This is an exciting opportunity to work at the intersection of engineering, clinical science, and AI, contributing to NIH-funded research on vocal fold physiology and laryngeal imaging.

The successful candidate will join a collaborative and interdisciplinary research environment with opportunities to develop novel computational methods, publish in leading journals, mentor student researchers, and contribute to ongoing NIH-funded projects.

The Voice and Speech Informatics (VSI) Lab develops computational methods that combine machine learning, computer vision, signal processing, and multimodal data analysis to study voice production, vocal physiology, and vocal health.

We analyze laryngeal imaging, aerodynamic, electroglottographic, acoustic, physiological, and ambulatory monitoring data to address fundamental and translational questions related to voice function and disorders.

The lab conducts NIH-funded research and collaborates closely with investigators across the Communication Technologies Research Collaborative (CTRC), providing access to diverse datasets, advanced instrumentation, and high-performance computing resources. The VSI lab and CTRC offer a highly interdisciplinary research environment at the intersection of engineering, artificial intelligence, and clinical science.

Responsibilities

• Develop and evaluate computer vision, machine learning, and deep learning approaches for the analysis of 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 publication in peer-reviewed journals and present research findings at scientific conferences.
• Mentor graduate and undergraduate researchers within the lab.
• Contribute to collaborative research activities, including the development of grant proposals and new research initiatives.

Minimum Qualifications

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

Preferred Qualifications

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.

Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human Resources employment opportunities website, In addition to the online application, interested candidates should upload the following: Curriculum vitae.

Brief statement (approximately 2 pages) describing the applicant's research interests, relevant experience, career goals, and potential research directions related to machine learning, computer vision, and multimodal analysis of high-speed videoendoscopy (HSV) and other voice-related datasets.

Up to two representative publications or preprints that best demonstrate the applicant's expertise and potential to contribute to research in computer vision, machine learning, medical image analysis, and multimodal data analysis. NOTE: Please have all documents ready when applying so they can be simultaneously uploaded.

Once the online submission process is finalized, the system does not allow applicants to submit additional documents later. The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed to: Dr. Hamzeh Ghasemzadeh, Special Instructions to the Applicants: All applicants must be authorized to work for any U.S. employer. H-1B visa sponsorship is not available for this position, and the university cannot accommodate H-1B transfers or employment-based visa processing for individuals currently sponsored by another employer.

• Review of applications will begin immediately and continue until the position is filled.
• Note to applicants: Please keep in mind that a job posted without an end date may close at any time without notice.
• As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position.
• This is a Contract & Grants (C&G) funded position.

Employment is subject to availability of funding and may cease at the time funding for this employment is depleted. The position is anticipated for at least two years, with continued appointment and possible extension subject to satisfactory performance and availability of funding (up to a total of four years). Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country.

You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference.

Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck. Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions: Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening.

Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

• Department College of Health Professions and Sciences (CHPS) - Communication Sciences and Disorders Work Schedule Varies.
• As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.
• For general application or posting questions, please email.
• If an accommodation due to a disability is needed to apply for this position, please email.