Postdoctoral Scholar Research

Updated: 26 days ago
Location: Saint Petersburg, FLORIDA

Department: Otolaryngology 0-6128-000

College/Division: Morsani College of Medicine

Salary Plan: Temporary

Hiring Salary/Salary Range: Negotiable

 

DUTIES:

This postdoctoral research position is available for a highly motivated candidate to study bio-acoustic signals such as voice, speech and respiratory sounds using machine learning and data visualization methods. The individual selected for this position will be working on a large-scale NIH funded project from the Bridge2AI program funded through the Common Fund. The Bride2AI-Voice project aims to integrate the use of voice as biomarker of health in clinical care by generating a substantial multi-institutional, ethically sourced, and diverse voice database linked to multimodal health biomarkers to fuel voice AI research and build predictive models to assist in screening, diagnosis, and treatment of a broad range of diseases.

It is expected that candidate’s professional background will allow them to contribute to research related to developing and evaluating AI/ML methods for acoustic signal processing and data visualization. Data presentation and participation at laboratory meetings, seminars, and conferences are expected, as are participation in the preparation of research materials for manuscript and grant submissions. Must have demonstrated the ability to design and execute experiments and acquire, analyze, and interpret the data.

QUALIFICATIONS (Education & Experience):

MINIMUM:

Doctoral degree from an accredited institution and appropriate experience and training within a selected area of specialization. Must meet university criteria for appointment to the rank of Postdoctoral Fellow.

PREFERRED:

PhD or equivalent in Data Science, Bioinformatics, AI/ML, Biomedical engineering, or related discipline. Previous postdoctoral experience is not necessary.

 

 

Information for Applicants 

This position is subject to a Level 1 criminal background check.

Job Opening Number: 36615

Posting Date:  04/01/2024

Posting End Date: 04/22/2024

How To Apply 

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Apply online by completing the required information and attaching your cover letter and resume. Please include your experience as it relates to the qualifications stated above.  YOUR COVER LETTER AND RESUME, PLUS ANY OTHER REQUESTED MATERIAL, MUST BE IN ONE ATTACHMENT. Only online applications are accepted for this position.

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Applicants have rights under Federal Employment Laws: Family and Medical Leave Act (FMLA) , Equal Employment Opportunity (EEO) and Employee Polygraph Protection Act (EPPA) .

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About USF 

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