Postdoc Fellow

University of Pennsylvania
Philadelphia, PA, USA
Job Type: 
Full Time
Closing Date: 
Monday, December 31, 2018

Position Description:

Two postdoctoral positions in machine learning for medical image analysis are available immediately at the Section of Biomedical Image Analysis (SBIA), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA. The candidates will develop novel imaging data analytic tools for image segmentation, image registration, or discovering new imaging patterns of neurological and pediatric diseases. The candidate will have access to rich resources of the Penn and CHOP. The candidate must have a background in machine learning, temporal data analysis, statistical analysis, or image processing. The candidate must also have strong verbal and written communication skills, including experience in manuscript writing.

Minimum requirements:

PhD in electrical or biomedical engineering, computer science, medical physics, applied mathematics, neuroscience, or a related field with a research focus on biomedical image computing and/or time series data analysis

Experience in programming with Python, Matlab, or C/C++

Highly desired qualifications:

Experience in analyzing medical imaging data

Experience in deep learning, machine learning, and pattern recognition