Postdoctoral Fellow: Computational Neuroimaging & ML

University of Pennsylvania Perelman School of Medicine; Pennsylvania; On-site; USD 60,000 - 72,000; Full time

Job summary

Two postdoctoral positions at the Center for Biomedical Image Computing and Analytics (CBICA), Radiology, University of Pennsylvania, are available for research in computational neuroimaging and machine learning. The successful candidate will work on image analysis tools for MRI/PET and ML applications to neurocognitive disorders.

The roles are NIH grant funded, with visa sponsorship welcomed. A PhD in a relevant field is required, and there is a strong emphasis on collaboration across a vibrant

Qualifications

• PhD in computer science, biomedical engineering, electrical engineering, applied mathematics, neuroscience, or related quantitative field.
• Strong background in image processing, statistics, ML, or pattern recognition.
• Experience with deep learning and neuroimaging data (MRI or PET) is highly desirable.

Responsibilities

• Contribute to development of advanced image analysis tools for MRI and PET data.
• Apply machine learning to imaging and clinical data from neurocognitive disorders.
• Collaborate within CBICA radiology to advance brain-health research.

Skills

Image processing

Statistical analysis

Machine learning

Pattern recognition

Deep learning

Neuroimaging data

Education

PhD in a relevant field

Job description

Two postdoctoral positions at the Center for Biomedical Image Computing and Analytics (CBICA), Radiology, University of Pennsylvania, are available for research in computational neuroimaging and machine learning. The successful candidate will work on image analysis tools for MRI/PET and ML applications to neurocognitive disorders.

The roles are NIH grant funded, with visa sponsorship welcomed. A PhD in a relevant field is required, and there is a strong emphasis on collaboration across a vibrant