Stanford Computational Neuroimage Science (CNS) Lab (http://web.stanford.edu/group/cnslab/) is looking for students interested in research at the intersection of Artificial Intelligence, Statistics, Medical Image Analysis, and Neuroscience to collaborate with our group in multiple exciting projects. The research can start with an independent study in the CNS lab (part of the School of Medicine). The projects are mainly unpaid and in exchange for independent research study credits. The projects include but are not limited to:

- Building deep learning models for understanding mechanisms of the brain using MRIs
- Developing novel machine learning models for extracting imaging biomarkers for different diseases and diagnosis
- Longitudinal studies of Structural, Functional, and Diffusion MRI data

The research will be directed by Prof. Kilian Pohl and Dr. Ehsan Adeli.

For questions please contact kilian.pohl@stanford.edu
Kindly use the subject line -- [Stanford CNS Research Application]

15-20 hours per week (will need to have space to take the appropriate number of research units).

Essential Requirements
- Experience and/or coursework in machine learning and deep learning (cs231a, cs229, cs231n, etc.)
- Experience with machine learning frameworks (e.g. PyTorch, Tensorflow, etc.)
- Excited about problems in neuroscience and medical applications
- Strong programmer and a fast learner
- Reliable and able to work effectively both in a team and individually

Preferred Requirements
- Graduate student; Exceptional undergraduate students welcome to apply
- Project/publication experience in related areas through course projects or prior experience.