Postdoctoral Fellow

Job Posting Title:

Postdoctoral Fellow

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Hiring Department:

Department of Speech, Language, and Hearing Sciences

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Nov 30, 2025

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

The Hamilton Lab at the University of Texas, Austin (PI: Liberty Hamilton, PhD) is seeking to fill a postdoctoral research position. Research in the Hamilton Lab focuses on understanding the development of speech and sound processing in the human brain. The lab uses a combination of intracranial electrophysiology in patients with epilepsy, scalp EEG in healthy controls, neuroimaging, behavior, and computational and statistical models to answer these questions. The position will involve direct interactions with pediatric epilepsy patients in the hospital, as well as analysis of neurophysiology and neuroimaging data. This position is based in Austin, Texas and includes the possibility of traveling for site visits in Houston, Texas. This position is currently funded for one year, with the potential for renewal depending on funding availability and performance.

Purpose

This position involves work under the aims of an NIH-funded grant from the National Institute on Deafness and Other Communication Disorders.

Responsibilities

• Experimental design, data collection in intracranial patients

• Conducting data analyses and generation of presentations and manuscripts from research findings

• Organization of data and code for data sharing in accordance with funder requirements

• Mentorship of graduate students

Required Qualifications

• A doctoral degree in Neuroscience, Psychology, Computer Science, Biomedical or Electrical Engineering, or related fields. Must have been received within three years of start date.

• Strong quantitative and coding skills

• Experience with collecting and analyzing neurophysiology data (broadly defined – could be scalp EEG, neurophysiological recordings in animal models, intracranial EEG, MEG, etc.)

• A publication record that reflects experience with electrophysiology data, quantitative analysis methods, and/or machine learning

• Strong interpersonal and communication skills

• Demonstrated ability to work collaboratively in a team environment

• Exceptional time management and organizational skills

Preferred Qualifications

• Prior experience interacting with human participants in research

• Prior experience working with children

• Experience using python for data analyses

• Prior experience with linear regression models, linear mixed effects models, time series analysis, machine learning

• Experience applying for external funding

• Strong oral and written proficiency in Spanish

Salary Range

$60,000 + depending on qualifications

Working Conditions

Standard office and lab conditions

Required Materials

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

• Research statement is optional

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the ap