Postdoctoral Research Associate

Kessler Foundation; Salt Lake City (UT); On-site; USD 60,000 - 75,000; Full time

Job summary

The Brain Network Lab at the University of Utah invites applications for a Postdoctoral Research Fellow position. The successful candidate will join a multidisciplinary team across radiology, psychology, biomedical engineering, and related disciplines to study structural and functional brain changes across the lifespan.

The role focuses on developing and applying neuroimaging analysis pipelines, including longitudinal MRI, resting-state connectivity, and multimodal processing, with opportunities

Qualifications

• PhD (completed or anticipated before start) in Neuroscience, Biomedical Engineering, Psychology, CS, Medical Physics, or related field
• Evidence of research productivity with peer-reviewed publications
• Strong quantitative and analytical skills

Responsibilities

• Lead and develop advanced neuroimaging analysis pipelines
• Perform longitudinal structural MRI analysis
• Conduct resting-state fMRI connectivity and network analysis
• Implement individualized brain parcellation and precision neuroimaging methods
• Engage in multimodal image processing, registration, and quantitative analysis
• Pursue biomarker discovery using longitudinal datasets and contribute to career development

Skills

Quantitative analysis

Publications

Programming (Python)

Education

PhD in Neuroscience or related field

Tools

FreeSurfer

FSL

AFNI

ANTs

Connectome Workbench

Job description

The Department of Radiology and Imaging Sciences at the University of Utah invites applications for a Postdoctoral Research Fellow position in the Brain Network Lab. The successful candidate will join a multidisciplinary research team that includes faculty from radiology, psychology, biomedical engineering, and related disciplines. The Brain Network Lab is dedicated to understanding structural and functional brain changes across the lifespan. This position will contribute to the Department of Radiology and Imaging Sciences’ growing research initiative focused on identifying the etiology and biomarkers of neurodegenerative disorders. Research projects will leverage unique longitudinal neuroimaging datasets available through the University of Utah and its collaborative research programs.

Responibilities

Current projects focus on healthy aging, neurodegenerative diseases, and neurodevelopmental conditions, including developmental disabilities. The postdoctoral fellow will lead and contribute to the development and application of advanced neuroimaging analysis pipelines, including:

• Longitudinal structural MRI analysis
• Resting-state functional MRI connectivity and network analysis
• Individualized brain parcellation and precision neuroimaging approaches
• Multimodal image processing, registration, and quantitative analysis
• Biomarker discovery using large-scale longitudinal datasets
• Training and Career Development

This position offers outstanding opportunities for multidisciplinary mentorship, scientific collaboration, and professional development. The fellow will work closely with investigators across multiple departments and will have access to extensive longitudinal imaging resources and computational infrastructure. Training will emphasize the development of independent research skills, grant writing, manuscript preparation, and career advancement toward academic, industry, or clinical research careers. Salary will be commensurate with experience and qualifications and consistent with current NIH postdoctoral stipend guidelines.

Minimum Qualifications

Required

• PhD (completed or anticipated before the start date) in Neuroscience, Biomedical Engineering, Psychology, Computer Science, Medical Physics, or a related field
• Evidence of research productivity, including peer-reviewed publications
• Strong quantitative and analytical skills

Preferred

• Experience with neuroimaging analysis methods and software (e.g., FreeSurfer, FSL , AFNI , ANTs, Connectome Workbench)
• Programming experience in Python, MATLAB , R, or related languages
• Experience with image processing, registration, machine learning, or computational neuroscience methods
• Interest in aging, neurodegenerative disease, developmental disabilities, or lifespan neuroscience