
Brain-Computer Interface (BCI)
- Bangalore, Karnataka
- Permanent
- Full-time
- Design and implement BCI solutions using Electroencephalography (EEG), ECoG, functional near-infrared spectroscopy (fNIRS), or invasive neural recording methods.
- Develop algorithms to decode brain signals and translate them into actionable commands.
- Integrate BCI systems with software and hardware, including robotics, prosthetics, and augmented reality (AR)/virtual reality (VR) platforms.
- Signal Acquisition & Processing:
- Collect and analyze neural data from various brain-sensing technologies.
- Apply signal processing techniques (e.g., filtering, feature extraction, noise reduction) to improve data quality.
- Develop real-time data processing pipelines for BCI applications.
- Machine Learning & AI Integration:
- Implement AI-driven models for brain signal classification and pattern recognition.
- Train deep learning and neural network models to enhance brain-computer interactions.
- Optimize algorithms for real-time, low-latency applications.
- Hardware & Software Integration:
- Work with hardware engineers to design electrodes, sensors, and wearable BCI devices.
- Develop software interfaces and APIs for BCI applications.
- Ensure seamless connectivity between brain signals and output devices such as computers, wheelchairs, or smart home systems.
- Research & Development:
- Stay updated on advancements in neuroscience, neurotechnology, and BCI methodologies.
- Collaborate with research institutions, healthcare professionals, and industry partners.
- Conduct user trials and refine BCI systems based on feedback.
- Compliance & Ethics:
- Ensure all BCI developments adhere to medical and ethical guidelines.
- Address privacy and security concerns related to brain data collection and processing.
- Maintain compliance with regulatory standards such as FDA, CE, and HIPAA (for healthcare applications).
- Education: Bachelor's, Master's, or Ph.D. in Neuroscience, Biomedical Engineering, Computer Science, AI/ML, or related fields.
- Experience: Hands-on experience in BCI research, neural signal processing, or brain-machine interfacing.
- Technical Skills:
- Strong understanding of neurophysiology and brain signal acquisition techniques.
- Proficiency in programming languages such as Python, MATLAB, or C++.
- Expertise in AI, deep learning, and signal processing frameworks (e.g., TensorFlow, PyTorch, OpenBCI).
- Knowledge of hardware interfacing and embedded systems for BCI applications.
- Soft Skills: Strong analytical, problem-solving, and interdisciplinary collaboration skills.
- May involve working in research labs, hospitals, or tech companies.
- Requires handling sensitive human neural data with ethical considerations.
- May include testing and refining BCI systems with end users, including patients and researchers.
Expertia AI Technologies