Research Fellow in Medical Image Analysis and Deep Learning
This position has been filled. Thanks for your interest.
Open position: The Department of Radiology at Boston Children’s Hospital and Harvard Medical School invite applicants for a full-time position at the postdoctoral research fellow level.
Topic: The funded project involves developing and using medical image analysis and deep learning algorithms to quantify normal brain development and to detect early signs of abnormalities in brain magnetic resonance images (MRIs).
Candidate qualifications: The successful candidate will be in the final year of PhD or have a PhD degree in the Data Science, Biomedical Engineering, Computer Science/Engineering, Applied Maths, Computational Neuroscience, or related fields. Experience in machine learning and medical image analysis is preferred.
Timeframe: The starting date can be as early as September 1st, 2021. The position will be open until filled. The period is 2 years given satisfactory progress evaluated at the end of the first year. Continuous stay beyond 2 years is possible based on performance and funding, and we will encourage and help the fellow to apply for his/her own funding for further career development.
Team: The new member will be working closely with
- P. Ellen Grant, MD, Professor of Radiology at Harvard Medical School, specializing in neuroradiology, neuroscience, and pediatric neurodevelopmental, Founding Director of the Fetal-Neonatal Neuroimaging Developmental Science Center (FNNDSC, https://www.fnndsc.org) that has ~10 faculty, ~10 postdoc fellows, and ~20 research scientists or assistants, and
- Yangming Ou, PhD, Assistant Professor of Radiology working on medical image analysis and machine learning, faculty member of FNNDSC, and Director of affiliated Image, Informatics, and Intelligence (I3) Lab (https://projects.iq.harvard.edu/i3-lab).
Members of the team (postdoc fellows, PhD students, and research assistants) work on MRI analysis and machine learning for abnormality detection, early screening of disorders, outcome prediction, treatment evaluation, and neuroimaging biomarkers for typical and atypical brain development in children and beyond.
Benefit: Time off includes 3-4 weeks paid vacation, paid holiday break, paid sick days. Medical/dental/vision insurance plans are offered at a heavily discounted rate. Other benefits include a retirement plan, tuition assistance program, transportation (50% discounted MBTA pass), wellness option, and others, all complying with Boston Children’s Hospital’s guidelines.
To apply: Please send your CV to Dr. Yangming Ou at yangming.ou@childrens.harvard.edu.
Disclaimer: Boston Children’s Hospital and Harvard Medical School is an equal employer. Applications will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy, and pregnancy-related conditions or any other characteristic protected by law. Under-represented groups in STEM are especially encouraged to apply.