Job Opening:  Research Fellow in Machine Learning and Image Analysis (2018)

This position has been filled. Thanks for your interest.

One full-time postdoctoral research fellow position is open at the Fetal-Neonatal Neuroimaging Data Science Center (FNNDSC) at Boston Children’s Hospital (BCH) and Harvard Medical School (HMS), in the Longwood Medical District of Boston, Massachusetts, USA.

Team: This fellow will be suited in a dynamic and closely collaborating multidisciplinary team consisting of radiologists, psychiatrists and computer scientists, and build on the group’s previous work on neuroimaging analysis. Specifically working with this fellow will be

            - Dr. Yangming Ou, PhD, Instructor of Radiology and Pediatrics at HMS, a member of FNNDSC  who is specialized in developing image analysis and machine learning algorithms and tools. Dr. Ou will supervise the fellow in technical aspects, including algorithm development and daily research;

            - Dr. Randy Gollub, MD, PhD, Associate Professor of Psychiatry and Radiology at HMS, who is a neuroimaging and medical informatics scientist at Martino’s Imaging Center at Massachusetts General Hospital. Dr. Gollub will offer guidance on neuroscience, team collaboration and career development.

            - Dr. Ellen Grant, MD, Professor of Pediatrics and Radiology at HMS, who is a clinical radiologist, a world-renowned pediatric neuroimaging scientist, and the Founding Director of FNNDSC. Dr. Grant will oversee the research fellow’s research, clinical/scientific directions and career development;

Topic: The fellow will work on developing a framework and tool for learning-based generic abnormality detection in pediatric MRI. Pediatric brain MRI is the clinical gold standard for diagnosing many perinatal brain injuries. However, radiologist interpretations are subject to 20-50% uncertainty. Recent advancement in Artificial Intelligence and Machine Learning offers unique opportunities for computerized abnormality detection. Adding into this is our recently published work to quantify “normative” brain development, so abnormalities can be naturally thought of outliers to normal.

Candidate: We are looking for excellent scholars having PhD degrees (or will soon have) from Computer Science, Electrical Engineering, Biomedical Engineering, or a similar engineering or Applied Mathematics discipline. The candidate should have a proven record in research, publication, creative thinking and real-world problem solving. Having an inter-disciplinary background in image processing, computer vision, machine learning, and programming (LINUX, C++, bash/perl/python scripting) is a strong plus.

To Apply: Please email your CV to Dr. Yangming Ou (yangming.ou@childrens.harvard.edu).

Job Posting Date: May, 22, 2017.

Job Start Date:     Fall or Winter 2017.

Job Closing Date: Open until filled.

Keywords: Postdoctoral Fellow; Pediatric Brain MRI; Machine Learning; Artificial Intelligence; Image Analysis.