Neuroengineer Intern
Core
Designing novel experimental preparations, interpreting neural signals and behavioral data, and developing novel brain-computer interface (BCI) paradigms to restore movement and sight.
Role type
Research intern (neuroscience & machine learning)
Builds
Brain-computer interfaces for neurological disorders
Domain
Neuroscience, biomedical engineering, machine learning
Deliverable
research
Required skills
neuroscience, machine learning, biomedical engineering, scientific method, engineering first principles, Python for data analysis
Preferred skills
LLMs and interpretability, generative models, neural population dynamics, manifold analysis, neural decoding (movement/speech), human fMRI experimental design and analysis, in-vivo electrophysiology (NHP), closed-loop BCI
Technologies
Python, fMRI, electrophysiology
Responsibilities
Investigate and map neural correlates of sensory and internally-generated states; Build and iterate on advanced machine learning architectures to map neural activity to complex outputs; Design, execute, interpret, and communicate results of experiments ranging from NHP electrophysiology to human fMRI studies; Present results in a collaborative setting.