Internship in EEG & fNIRS Data Acquisition and (Pre-)Processing (f/m/x)
Core
Develop reproducible workflows for EEG and fNIRS data acquisition and preprocessing to prepare AI-ready datasets for neural decoding research.
Role type
Research intern (neural signal processing & data engineering)
Builds
Curated datasets of stimulus-brain activity pairs and preprocessing pipelines for deep learning models
Domain
Neuroscience / Biomedical Engineering / AI
Deliverable
production ML models
Required skills
Python, NumPy, electrical engineering principles, data preprocessing, signal analysis, feature extraction
Preferred skills
electrophysiology, neural signal processing, machine learning, deep learning architectures
Technologies
Python, NumPy
Responsibilities
Develop efficient data acquisition and preprocessing workflows, implement quantitative metrics for data quality assessment, curate large datasets of stimulus-brain activity pairs, establish methods for detecting bad recordings, apply advanced preprocessing techniques to improve signal-to-noise ratio, prepare data pipelines for AI/ML models, collaborate with engineers and neuroscientists to integrate deep learning approaches
Seniority
Intern