Postdoctoral Fellow in computational neuroimaging

University of Pennsylvania Perelman School of Medicine; Erie (Erie County); On-site; USD 60,000 - 85,000; Full time

Job summary

University of Pennsylvania’s Perelman School of Medicine invites applications for two postdoctoral positions in the Center for Biomedical Image Computing and Analytics (CBICA), Radiology. The roles focus on computational neuroimaging, machine learning, and clinical neuroscience, funded by NIH.

Ideal candidates will have a PhD in a quantitative field and strong background in image processing, statistics, and deep learning with MRI/PET data. Visa sponsorship is welcome.

Qualifications

• The ideal candidate will have a strong background in image processing, statistical analysis, machine learning, or pattern recognition.
• Experience with deep learning and neuroimaging data (e.g., MRI or PET) is highly desirable.
• Applicants should hold a PhD in computer science, biomedical engineering, electrical engineering, applied mathematics, neuroscience, or a related quantitative field.

Responsibilities

• Contribute to projects at the intersection of medical image analysis, machine learning, and clinical neuroscience.
• Develop computational methods for analyzing large-scale neuroimaging and clinical datasets.
• Work on two main directions: MRI/PET image analysis for aging and neurodegenerative diseases; ML on imaging and clinical data for disease characterization and prediction.

Skills

Image processing

Statistical analysis

Machine learning

Deep learning

Education

PhD in computer science, biomedical engineering, electrical engineering, applied mathematics, neuroscience, or related quantitative field

Job description

University of Pennsylvania: Postdoctoral Positions: Perelman School of Medicine Postdoctoral

Location

University of Pennsylvania - Perelman School of Medicine

Open Date

Mar 06, 2026

Description

• Faculty Mentor: Aristeidis Sotiras, PhD (Aristeidis (Aris) Sotiras, PhD - AIBIL)
• Department: Radiology
• Funding Source: NIH
• Number of positions: 2

Two postdoctoral positions in computational neuroimaging and machine learning are available at the Center for Biomedical Image Computing and Analytics (CBICA), Radiology, University of Pennsylvania. The successful candidate will join a highly collaborative research environment focused on developing computational methods for analyzing large-scale neuroimaging and clinical datasets to better understand brain health and disease. The postdoctoral fellow will contribute to projects at the intersection of medical image analysis, machine learning, and clinical neuroscience, with opportunities to work in two main research directions: (1) Development of advanced image analysis tools for MRI and PET data to study brain aging and neurodegenerative diseases, including Alzheimer’s disease. These projects involve large multi-cohort datasets and focus on extracting biologically meaningful imaging biomarkers. (2) Application of machine learning methods to imaging and clinical data from patients with neurocognitive disorders, with the goal of improving disease characterization, prediction of clinical outcomes, and personalized diagnostics. NIH grant funded. Applicants requiring visa sponsorship are welcome to apply.

Qualifications

The ideal candidate will have a strong background in image processing, statistical analysis, machine learning, or pattern recognition. Experience with deep learning and neuroimaging data (e.g., MRI or PET) is highly desirable.

Applicants should hold a PhD in computer science, biomedical engineering, electrical engineering, applied mathematics, neuroscience, or a related quantitative field.