CCNI | Clinical Computational Neuroimaging Group

Get Involved

Love cutting edge multidisciplinary clinical research involving the brain?

The Clinical Computational Neuroimaging Group is actively recruiting for several research positions. More information here.

Want to support us? Check out our funding information below.

Career Opportunities

For more information, email the lab director, Dr. Ona Wu, at



CCNI is seeking highly motivated, results-oriented research scientists for full-time positions as post-doctoral research fellows.

Through the development and clinical translation of quantitative imaging biomarkers and artificial intelligence, the Clinical Computational Neuroimaging Group is focused on improving the diagnosis, prognosis, treatment and outcomes of patients with brain injury.

Some of the methods that are used to achieve this goal include deep learning, transfer learning, functional and structural MRI connectivity analysis, and computational modeling. These techniques are applied to investigate mechanisms and outcomes in the fields of stroke, coma recovery after cardiac arrest, and traumatic brain injury.

Successful candidates will work with an interdisciplinary team of investigators and receive mentorship by faculty. The position is ideal for scientists with technical expertise and MRI/CT knowledge who are interested in patient-oriented clinical research.


  • Applicants must hold a doctoral degree in engineering, computer science, applied physics, or equivalent, and have a solid track record in conducting independent research during their Ph.D.
  • Applicants should have experience in neuroimaging and machine learning
  • Proficiency with Python, Linux, shell scripting, and/or tensorflow programming are pluses.

Interested applicants should apply to, using job number 3161379.


Massachusetts General Hospital is an Equal Opportunity Employer.  By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.



We are looking for eager, motivated and detailed-oriented students who are seeking opportunities to volunteer on a part time basis or over summer months who are interested in the intersection of neursocience, machine learning, medical imaging and medicine.

If this sound like you, please get in touch with the lab director, Dr. Ona Wu, at


Want to help? Email the lab director, Dr. Ona Wu, at to discuss how to contribute.

Current Funding

Supported in part by the American Heart Association Precision Medicine Initiative; the MGH Institute for Heart, Vascular and Stroke Care SPARK grant; MGH Executive Committee on Research; Football Players Health Study at Harvard University; PHS NIH grants R01NS059775, R01NS063925, R01NS051412, R01NS102574, P50NS05134, P41EB015896, U01NS069208,  HHSN268201500021C (H-1). We gratefully acknowledge the support of NVIDIA Corporation for the donation of the Tesla K40 and Titan XP used for some of our research.