BCI Neural Decoding Scientist

Make neural decoding work online

Develop signal-processing and intent-decoding methods that can be evaluated responsibly in task-conditioned research settings.

What you will own

• Develop methods for EEG, EMG, and adjacent neural or physiological signals.
• Improve robustness across users, sessions, and task conditions.
• Build safeguards for uncertainty, false triggers, confirmation, and correction.
• Establish disciplined data-quality and task-relevance review.
• Contribute to research design, evaluation, and reusable processing foundations.
• Work with hardware, systems, and model teams on consistent research workflows.

What we value

• A master’s degree or above in biomedical engineering, neural engineering, signal processing, electronic information, automation, or a related field.
• Strong understanding of EEG or EMG generation, acquisition, common artifacts, and data-quality risks.
• Practical experience with scientific computing and neural-signal analysis tools.
• Sound judgment in statistical validation and modern machine-learning methods.
• Careful validation across participants and sessions, with attention to statistics and time-series leakage.
• The willingness to work in live experiments and diagnose weak signals, individual differences, and device anomalies.

Additional strengths

• Experience with real task-based research rather than offline benchmarks alone.
• Experience with uncertainty-aware interaction or data-quality control.
• Experience with human studies, real-time experimentation, or human–computer interaction.

What WABO offers

• Direct exposure to the path from experimental design and acquisition to responsible system evaluation.
• Close collaboration with neural-model and systems teams.
• Support for publications, patents, project incentives, professional growth, and long-term incentives.

Apply

Send a concise introduction, selected work, and an example of a neural-decoding problem you solved under real experimental constraints.