The Laboratory for Computational Neuroimaging at the Athinoula A. Martinos Center for Biomedical Imaging invites applications for a postdoctoral position at the Massachusetts General Hospital and
Harvard Medical School. This position is part of a multi-year NIH-funded project pursuing advances in medical image processing and acquisition through the development of novel machine-learning technology. Its focus is on segmentation and registration techniques with applications to fetal-brain magnetic resonance imaging (MRI).
The research fellow will work with Dr. Malte Hoffmann and have the opportunity to lead high-impact publications, with scope for self-directed research. The position is initially for 2 years, with the possibility of extension. Candidates with publications in top conferences like CVPR, MICCAI, and NeurIPS or journals like IEEE TMI, MELBA, or MedIA will be preferred.
Responsibilities
- Develop machine-learning algorithms for image analysis
- Prepare paper submissions to scientific conferences and journals
- Present results in meetings and conferences
- Assist with the preparation of grant applications
Required qualifications
- PhD in computer science, engineering, or a similar field
- Expertise in machine learning and 3D medical image processing
- Experience with Python and deep-learning packages like PyTorch or TensorFlow
- Excellent writing skills and ability to drive first-author publications
Benefits
- Vibrant research environment with opportunities for training and collaboration
- Full-time position with flexible work schedule available immediately in Boston, MA, USA
- Potential for promotion to faculty track at Harvard Medical School
- Competitive compensation and benefits commensurate with experience
- Discounted public transport ticket for the Greater Boston area
Application
Please send your CV and contact information for three references to: mhoffmann@mgh.harvard.edu.
