Postdoctoral Research Associate in Brain Network Analysis
Join the Brain Network Lab at the University of Utah to advance neuroimaging research on aging, neurodegeneration, and neurodevelopmental disorders.
Best for:Best for postdoctoral researchers with expertise in neuroimaging, computational neuroscience, and quantitative analysis seeking to advance research on aging, neurodegeneration, and neurodevelopmental disorders.
Overview
This postdoctoral position at the University of Utah’s Department of Radiology and Imaging Sciences offers an opportunity to contribute to cutting-edge neuroimaging research within the Brain Network Lab. The successful candidate will work alongside a multidisciplinary team of radiologists, psychologists, and biomedical engineers to analyze longitudinal brain imaging datasets. The role focuses on developing advanced neuroimaging pipelines, biomarker discovery, and precision neuroimaging approaches to understand structural and functional brain changes across the lifespan. The position emphasizes mentorship, scientific collaboration, and professional development, with access to extensive longitudinal imaging resources and computational infrastructure. It is ideal for researchers with a strong background in neuroscience, biomedical engineering, or related fields and a passion for translational research.
What you'll do
- Develop and apply advanced neuroimaging analysis pipelines for longitudinal structural MRI and resting-state functional MRI connectivity studies.
- Lead individualized brain parcellation and precision neuroimaging approaches to analyze large-scale longitudinal datasets.
- Conduct multimodal image processing, registration, and quantitative analysis to discover biomarkers for neurodegenerative and neurodevelopmental disorders.
- Collaborate with multidisciplinary teams across radiology, psychology, and biomedical engineering to advance research initiatives.
- Engage in professional development activities including grant writing, manuscript preparation, and career advancement planning.
- Utilize extensive longitudinal imaging resources and computational infrastructure to support independent research goals.
Requirements
Degree required: PhD in Neuroscience, Biomedical Engineering, Psychology, Computer Science, Medical Physics, or a related field (completed or anticipated before the start date)
Language: English (proficiency required for collaboration and communication)
Instruction: English
Publications: Evidence of research productivity, including peer-reviewed publications
- Evidence of research productivity, including peer-reviewed publications
- Strong quantitative and analytical skills
- Proficiency in neuroimaging analysis methods and software (e.g., FreeSurfer, FSL, AFNI, ANTs, Connectome Workbench)
- Programming experience in Python, MATLAB, or R
- Experience with image processing, registration, or machine learning methods
- PhD completion or anticipated completion before the start date
- No explicit nationality or residency restrictions mentioned
Funding & terms
How to apply
Deadline: 2026-11-03
Interested applicants should contact Dr. Molly Prigge or Dr. Jace King via email to express their interest and submit their application materials. The application process involves submitting a CV, cover letter, and other relevant documents through the provided email addresses.
- CV
- Cover letter
- Peer-reviewed publications or research productivity evidence
Contact
Molly Prigge· Supervisor
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