Postdoctoral fellow in machine learning for human neuroimaging

Wednesday 26th November 2025

Contact Email for the Job Positing jiglesiasgonzalez@mgh.harvard.edu

Organization MGH & Harvard Medical School

Location Boston, MA, USA

Title Postdoctoral fellow in machine learning for human neuroimaging

URL https://lemon.martinos.org/wp-content/uploads/2025/11/Postdoc_Nov_2025.pdf

Closing date Feb 28, 2026

Description We are seeking to recruit a postdoctoral fellow to work on several projects within the Laboratory for Ex vivo Modeling of Neuroanatomy (https://lemon.martinos.org). The fellow will be supervised by Juan Eugenio Iglesias and work on one or more projects with collaborators from MGH Radiology, the Massachusetts Alzheimer’s Disease Research Center, MIT, UW, and/or the Allen Institute for Brain Sciences. Potential topics include:

- Deep generative models of pathology.

- Analysis of heterogeneous clinical brain MRI.

- Analysis of brain MRI acquired with low-field, portable devices.

- Analysis of high-resolution ex vivo MRI scans.

- Registration across scales (MRI / histology).

- Longitudinal analysis.

- Improvements to our recently released NextBrain atlas (Casamitjana, …, & Iglesias: “A

probabilistic histological atlas of the human brain for MRI segmentation”, Nature, 2025).

The position is initially for two years, with possibility of extension. The salary range is $87,000-92.5000/year, depending on experience.

Responsibilities:

- Developing machine learning algorithms for image analysis.

- Development and support of open-source code.

- Preparing submissions to journals and conferences.

- Presenting their work in meetings and conferences.

- Assisting with preparation of grant applications.

Desired qualifications:

- PhD in computer science, engineering, neuroscience, or related field.

- Machine learning expertise.

- Experience with brain MRI or at least other volumetric medical imaging modalities.

- Experience with Python and Torch.

To apply for this position, please send a cover letter, CV, list of publications, and contact information of three references to jiglesiasgonzalez@mgh.harvard.edu.