Computational Neuroscientist
Core
Design and iterate on stimulus paradigms at scale and perform comprehensive analyses on collected data to uncover insights into various paradigms and architectures for non-invasive brain-computer interfaces.
Role type
Senior IC computational neuroscientist (neuroimaging & deep learning)
Builds
Next-generation neural decoding approaches and general consumer interfaces for brain-computer communication
Domain
Neuroscience, deep learning, EEG/fMRI analysis
Deliverable
production ML models
Required skills
Designing and executing neuroscience studies, analyzing functional brain imaging data (EEG, fMRI), Python (MNE, Numpy, PyschoPy), machine learning frameworks (PyTorch, SciPy, Scikit-Learn), advanced computational statistical modeling, psychophysics, human behavior analysis
Preferred skills
Independent research, interdisciplinary collaboration
Technologies
MNE, Numpy, PyschoPy, PyTorch, SciPy, Scikit-Learn
Responsibilities
Design and iterate on stimulus paradigms at scale, perform comprehensive analyses on collected data to uncover insights, collaborate with research coordinators and engineers to design experiments optimizing neural decoding approaches
Seniority
Senior, hands-on IC