Research Intern (Fall)
Core
Building computational infrastructure and deep learning pipelines to decode brain signals from EEG data for brain-computer interface applications.
Role type
Research Intern (Machine Learning & Neuroscience)
Builds
Computational pipelines for EEG data processing and neural decoding models
Domain
Neuroscience + Machine Learning (EEG/Brain-Computer Interfaces)
Deliverable
production ML models
Required skills
Python, PyTorch, algorithms and data structures, distributed systems, data preprocessing
Preferred skills
deep learning frameworks, signal processing, EEG/neuroimaging modalities, experimental design
Technologies
PyTorch, Python, React, SQL
Responsibilities
Implement and run computational experiments using PyTorch; Develop performant, distributed pipelines for EEG data processing; Perform quality checks and preprocessing on EEG data; Optimize EEG data collection and analysis conditions; Collaborate with computational neuroscientists and ML researchers; Maintain documentation of experiments and results
Seniority
Intern