Postdoctoral Fellow

University of Texas at Austin
Texas, United States
Salary Not specified
Oct 20, 2020
Employment Level
Employment Type
Full Time

Postdoctoral Fellow

College/School/Unit: Cockrell School of Engineering
Department: Biomedical Engineering
Posted: Jun 1, 2016
Apply By: Open until filled


The Biomedical Informatics Lab in Biomedical Engineering at The University of Texas at Austin (Dr. Mia K. Markey) and the Seton Stroke Institute (Dr. Adrienne Dula) are jointly seeking a Postdoctoral Fellow in the area of computational medical image processing. The candidate will be working in a highly collaborative environment that includes researchers from the Department of Neurology at the Dell Medical School at The University of Texas at Austin (Dr. Steven Warach) and the Texas Advanced Computing Center (Dr. James Carson). The broad scope of the project, which is funded by the Lone Star Stroke Consortium, entails establishing an imaging repository for the Seton Stroke Institute and The University of Texas at Austin in order to provide pilot data and drive relevant clinical questions regarding quantitative imaging biomarkers of pathology such as stroke. This particular position involves development and maintenance of archive storage as the primary research PACS which will work in concert with an XNAT implementation in order to automate image registration and processing to extract quantitative imaging measures. Information on the Laboratories can be found here: and

Hiring Department: Biomedical Engineering

Annual Salary: $47,762+ depending on qualifications, Hours per week: 40.00

Earliest Start Date: Immediately

Position Duration: 1 year with possible extension contingent upon funding availability and satisfactory performance


Hold a PhD degree in a relevant field (e.g. BME, ECE, Physics) that must have been awarded no more than five years ago - Experience with medical image analysis and/or informatics -Good interpersonal skills with people from various backgrounds (physicians, residents, nurses, lab technicians, etc.) Preferred Qualifications: - Experience with human subjects clinical trial (IRB protocols, consent forms) - Experience with neuroimaging analysis.

Application Instructions

Interested candidates should submit their application electronically via Interfolio.

A criminal history background check will be required for finalist(s) under consideration for this position. The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. The University of Texas at Austin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, citizenship status, Vietnam era or special disabled veteran's status, or sexual orientation. Under Section 504 of the Rehabilitation Act and the Americans with Disabilities Act, disability accommodations will be provided, as needed. If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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