Research Internship : Foundation Models for Brain Data
Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 6, 2026.
Join Sigma Nova, a research-driven startup at the intersection of AI and neuroscience. As a research intern, you will work on publication-oriented research focused on representation learning and neuroscience, primarily involving EEG data. You will have the opportunity to explore various research tracks, including robust representations and generalization, learning across brain-data modalities, and flexible detection of neural events. This internship offers close mentorship, access to large brain-signal datasets, and the chance to shape a research question and contribute to a publication.
Missions
- Participate in publication-oriented research at the intersection of representation learning and neuroscience, focusing on EEG and other brain-data modalities.
- Investigate robust representations and generalization in brain signals, exploring self-supervised learning and representation analysis.
- Explore multimodal learning by combining information from different brain-data modalities, such as EEG and MRI.
Profil recherché
* Master's-level training in machine learning, signal processing, computational neuroscience, or a related field* Strong Python skills and experience with PyTorch
* Solid foundations in deep learning and an interest in neuroscience
* Comfortable reading papers, preparing data, and running careful, reproducible experiments
* Mathematical training and experience with self-supervised learning are a plus
* Prior experience with EEG or neuroimaging is welcome, but not required for every project
### What we offer
* A research-driven startup at the interface of AI and neuroscience
* Close mentorship from researchers working on brain data and foundation models
* Access to large brain-signal datasets and high-end GPU resources
* Room to shape a research question and contribute to a publication