Machine Learning for Brain Imaging

Tuesday 2nd September 2025

Contact Email for the Job Positing davood.karimi@gmail.com
Organization Harvard Medical School; Boston Children's Hospital
Location Boston, MA, USA
Title Machine Learning for Brain Imaging
URL https://tinyurl.com/3x5auu4n
Closing date Oct 31, 2025
Description Machine learning has a unique potential for analyzing complex neuroimaging data from fetuses, neonates, and children — areas where existing computational methods remain highly inadequate. We are seeking a postdoctoral fellow to join our research team and work on advancing these cutting-edge topics. You will be supported by world-class experts in radiology and neuroimaging, and this project is anticipated to make a significant contribution to enabling accurate, quantitative assessment of early brain development, both normal and abnormal, with broad applications in medicine and neuroscience.
Topics of Interest:
Image reconstruction, super-resolution, registration, and segmentation,
Multimodal AI and foundation models
Fetal brain ultrasound
Fetal and neonatal brain MRI
Diffusion MRI and structural brain connectivity
Location:
Boston Children’s Hospital (BCH), Harvard Medical School (HMS). BCH is ranked #1 pediatric hospital in the USA, and HMS is #1 among all medical schools. Our lab maintains close collaborations with other leading research labs at Harvard Medical School.
Minimum Requirements:
Ph.D. in Electrical or Biomedical Engineering, Computer Science, Medical Physics, or a related field
Strong knowledge of machine learning
Strong programming skills
Excellent communication skills
Preferred Qualifications:
Knowledge and hands-on experience in image processing or computer vision
Experience in medical image analysis, ultrasound, or brain MRI
How to Apply:
Please send your CV to davood.karimi@gmail.com