Postdoc: Computational Neuroimaging & ML for Brain Health

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 60,000 - 75,000; Full time

Job summary

A prestigious academic institution in Philadelphia seeks a Postdoctoral Fellow in computational neuroimaging. The position emphasizes developing computational methods for analyzing neuroimaging and clinical datasets, focusing on brain health and disease. Ideal candidates should hold a PhD and possess strong skills in image processing and machine learning, including experience with MRI or PET data. The role is NIH grant funded and invites applicants requiring visa sponsorship.

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.

Responsibilities

• Develop advanced image analysis tools for MRI and PET data to study brain health.
• Apply machine learning methods to imaging and clinical data for disease characterization and prediction.

Skills

Image processing

Statistical analysis

Machine learning

Pattern recognition

Deep learning

Education

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

Job description

A prestigious academic institution in Philadelphia seeks a Postdoctoral Fellow in computational neuroimaging. The position emphasizes developing computational methods for analyzing neuroimaging and clinical datasets, focusing on brain health and disease. Ideal candidates should hold a PhD and possess strong skills in image processing and machine learning, including experience with MRI or PET data. The role is NIH grant funded and invites applicants requiring visa sponsorship.