NeuroNet
NeuroNet is a modular AI platform that converts EEG signals into meaningful actions for clinical, research, and assistive use. It uses CNNs, RNNs, and other deep learning methods, with SHAP explanations and LLM-enabled natural language queries, to analyze EEG data. The system is designed as a BCI and neurotechnology platform with YAML-driven pipelines, edge AI hardware, and integrations for clinical workflows. NeuroNet aims to scale across healthcare and research settings, improving diagnostic transparency and workflow efficiency.
NeuroNet
NeuroNet is a modular AI platform that converts EEG signals into meaningful actions for clinical, research, and assistive use. It uses CNNs, RNNs, and other deep learning methods, with SHAP explanations and LLM-enabled natural language queries, to analyze EEG data. The system is designed as a BCI and neurotechnology platform with YAML-driven pipelines, edge AI hardware, and integrations for clinical workflows. NeuroNet aims to scale across healthcare and research settings, improving diagnostic transparency and workflow efficiency.
Join the Team
NeuroNet is developing a governed and reproducible infrastructure for biological signal analysis, with a strong focus on clinical transparency and auditability.
We are looking for a senior clinical EEG specialist to contribute to the evaluation and validation of analysis criteria, quality gates, and outputs, and to act as a clinical counterpart in discussions with academic and hospital partners.
The role is fractional and remote (EU).