Postdoc: Computational Neuroimaging & ML for Brain Health

University of Pennsylvania; Erie (Erie County); On-site; USD 60,000 - 78,000; Full time

Job summary

Two postdoctoral positions at the Center for Biomedical Image Computing and Analytics (CBICA) in Radiology, University of Pennsylvania, are available to advance computational neuroimaging and machine learning. The successful candidates will work on MRI/PET data analysis, biomarker extraction, and clinical outcomes prediction within NIH-funded projects.

Ideal candidates hold a PhD in a quantitative field and have strong expertise in image processing, ML, and deep learning with neuroimaging data.

Qualifications

• PhD in computer science, biomedical engineering, electrical engineering, applied mathematics, neuroscience, or a related quantitative field.
• Strong background in image processing, statistics, machine learning, or pattern recognition.
• Experience with deep learning and neuroimaging data (MRI/PET) is highly desirable.
• Applicants requiring visa sponsorship are welcome to apply.

Responsibilities

• Develop computational tools for MRI and PET data analysis.
• Apply machine learning to imaging and clinical datasets.
• Collaborate with researchers across radiology and CBICA.
• Prepare and publish results; contribute to NIH-funded projects.

Skills

Image processing

Statistical analysis

Machine learning

Pattern recognition

Deep learning

Education

PhD in quantitative field

Job description

Two postdoctoral positions at the Center for Biomedical Image Computing and Analytics (CBICA) in Radiology, University of Pennsylvania, are available to advance computational neuroimaging and machine learning. The successful candidates will work on MRI/PET data analysis, biomarker extraction, and clinical outcomes prediction within NIH-funded projects.

Ideal candidates hold a PhD in a quantitative field and have strong expertise in image processing, ML, and deep learning with neuroimaging data.