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The University of Texas at Arlington

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Postdoctoral Research Associate in Multimodal Neuroimaging, Deep Learning, and Psychiatric Disorders The University of Texas at Arlington in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time, benefits-eligible postdoctoral employment paid on a monthly basis. The duration is listed as funding expected to continue, and the position includes a comprehensive university benefits package, including eligible health insurance, retirement plans, and paid time off. No salary amount is specified.

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Country

United States

University

The University of Texas at Arlington

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Biostatistics
Deep Learning
Neuroimaging
Neuropsychology
Medical Science
Magnetic Resonance Imaging
Psychosis
ML

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About this position

The Department of Bioengineering in the College of Engineering at The University of Texas at Arlington is accepting applications for a full-time Postdoctoral Research Associate in Arlington, Texas, United States.

The postdoctoral researcher will analyze imaging data, develop methods for the analysis and integration of multimodal neuroimaging, behavioral, and clinical datasets, and build large-scale deep learning models for multimodal neuroimaging. The research aims to construct predictive network models relevant to psychiatric disorders and neuroscience.

Key responsibilities include neuroimaging data collection and management, data analysis and model building, development of advanced deep learning and machine learning algorithms, organization and quality control of large-scale multimodal neuroimaging datasets, neuroimaging processing, grant application support, manuscript preparation, and supervision of research assistants and volunteers.

Applicants must hold a PhD in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field. Preferred experience includes MRI scanning, state-of-the-art machine learning, PyTorch, TensorFlow or Keras, neuroimaging processing pipelines, strong writing and communication, and an interest in neuroscience and psychiatric research.

This is a full-time, benefits-eligible position with funding expected to continue. UTA provides a comprehensive benefits package, and the anticipated start date is October 15, 2026. Applications are reviewed immediately and remain open until the position is filled.

Funding details

Full-time, benefits-eligible postdoctoral employment paid on a monthly basis. The duration is listed as funding expected to continue, and the position includes a comprehensive university benefits package, including eligible health insurance, retirement plans, and paid time off. No salary amount is specified.

What's required

Applicants must hold a PhD in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field. Preferred qualifications include experience working with an MRI scanner; experience developing state-of-the-art machine learning algorithms; hands-on experience with deep learning libraries such as PyTorch, TensorFlow, or Keras; experience with neuroimaging processing pipelines; excellent writing and communication skills; and a strong interest in neuroscience and psychiatric research. A criminal background check is required for candidates under final consideration.

How to apply

Apply through the UTA PeopleAdmin portal at https://uta.peopleadmin.com/postings/33389. Submit a curriculum vitae, cover/interest letter, unofficial transcripts, and contact information for two references. Applications are reviewed immediately until the position is filled, so early application is encouraged.

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