Postdoc: ML-driven Neuroimaging for Brain Health & Aging

Upenn; Philadelphia (Philadelphia County); On-site; USD 60,000 - 80,000; Full time

Job summary

University of Pennsylvania, Center for Biomedical Image Computing and Analytics (CBICA) in the Radiology department, invites applications for two postdoctoral positions focused on computational neuroimaging and machine learning.

The successful candidate will join a highly collaborative research environment developing scalable methods for analyzing large neuroimaging datasets to understand brain health and disease.

Qualifications

• PhD in a quantitative field with strong image analysis background.
• Experience with deep learning and neuroimaging data (MRI or PET) is highly desirable.
• Strong research publication record and ability to work independently.

Responsibilities

• Develop computational methods for MRI and PET data analysis to extract imaging biomarkers.
• Apply machine learning approaches to neuroimaging and clinical data to improve disease characterization and prediction.
• Collaborate with a multidisciplinary team on NIH-funded projects and share findings.

Skills

Image processing

Statistical analysis

Machine learning

Pattern recognition

Deep learning

Education

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

Job description

University of Pennsylvania, Center for Biomedical Image Computing and Analytics (CBICA) in the Radiology department, invites applications for two postdoctoral positions focused on computational neuroimaging and machine learning.

The successful candidate will join a highly collaborative research environment developing scalable methods for analyzing large neuroimaging datasets to understand brain health and disease.