Postdoctoral Fellow in computational neuroimaging

About the role

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.

Responsibilities

• Contribute to projects at the intersection of medical image analysis, machine learning, and clinical neuroscience.
• Develop advanced image analysis tools for MRI and PET data to study brain aging and neurodegenerative diseases, including Alzheimer’s disease.
• Work with large multi-cohort datasets and focus on extracting biologically meaningful imaging biomarkers.
• Apply machine learning methods to imaging and clinical data from patients with neurocognitive disorders to improve disease characterization, prediction of clinical outcomes, and personalized diagnostics.

Qualifications

• 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.
• Hold a PhD in computer science, biomedical engineering, electrical engineering, applied mathematics, neuroscience, or a related quantitative field.