Bridge Neurotech
Neuroscience Research Intern (PhD)
Redwood City · On-site · Internship · Posted Oct 12, 2026
- Experience
- No years specified.
- Education
- Currently enrolled in a PhD program in neuroscience, biomedical engineering, electrical engineering, data science, or a closely related field.
About the job
Conduct research for a brain-computer interface platform by collecting and processing functional ultrasound data, analyzing neuroimaging results, and contributing to neural decoder evaluation.
What you'll do
- Help design and run research data collection, including participant sessions, and validate ultrasound sequences and data quality.
- Build reproducible dataset and analysis pipelines; analyze neuroimaging data using statistical methods, signal processing, and visualization.
- Collaborate on neural decoder and encoder feature design and evaluation, and present results at the end of the internship.
What they ask for
- Currently enrolled in a PhD program in neuroscience, biomedical engineering, electrical engineering, data science, or a closely related field.
- Available full time for six months.
- Hands-on experience processing and analyzing neuroimaging data (fMRI, fUSI, EEG, or similar).
- Strong Python skills with scientific computing libraries, and experience building reproducible analysis pipelines.
Nice to have
- Experience with ultrasound imaging, particularly functional ultrasound (fUSI).
- Experience with machine learning frameworks for biomedical signal analysis, neural decoding, or brain-computer interface applications.
Tools
Python, NumPy, SciPy, pandas, matplotlib, BIDS, PyTorch, TensorFlow
AI focus
Work with the ML team on neural decoders and encoders trained on research data, contributing to feature design and performance evaluation.
Model-written summary · the original posting is authoritative