Application Open:
Full-Time
Job Purpose:
MBZUAI is seeking highly skilled and innovative Engineers with a strong focus on hands-on experience to join a groundbreaking neuro engineering research project developing the next generation of brain-machine interfaces that create true symbiotic relationships between human neural intent and robotic systems. This role will pioneer invasive neural signal processing techniques that enable tetraplegic patients to control robotic embodiments through thought alone, moving beyond traditional BMI limitations to achieve natural, intuitive control.
Key Responsibilities:
Neural Signal Processing & Decoding:
- Design and implement real-time signal acquisition systems for invasive brain implants (microelectrode arrays).
- Develop advanced signal processing pipelines for extracting movement intentions from multi-channel neural recordings.
- Create robust filtering, artifact removal, and noise reduction algorithms for clinical-grade neural data.
- Build causal signal processing chains that enable real-time decoding with minimal latency.
BMI System Development:
- Architect end-to-end brain-machine interface decoders that translate neural signals into continuous robotic control commands.
- Develop algorithms to decode full-state motor policies including joint angles, movement velocity, and directional intent.
- Implement adaptive systems that learn and adjust to individual neural signatures over time.
- Create personalized neural pattern recognition systems for each patient’s unique brain activity.
Multimodal Integration:
- Integrate invasive neural signals with complementary bio signals (EMG, eye-tracking, motion capture).
- Develop sensor fusion algorithms that combine brain signals with kinematics and force sensor data.
- Build systems that seamlessly merge invasive and non-invasive sensing modalities.
- Design validation frameworks to ensure signal quality and decoder performance.
Clinical Integration:
- Collaborate with neurosurgeons to optimize electrode placement for maximum signal quality.
- Work directly with clinical teams to ensure safe, reliable operation in hospital environments.
- Develop clinical testing protocols and safety monitoring systems.
- Create user interfaces for clinicians to monitor and adjust BMI performance.
Project Statistics & Reporting:
- Monitor and evaluate project milestones and deliverables, ensuring accurate tracking of task completion and adherence to timelines.
- Compile and present concise reports and performance dashboards for management and stakeholders, highlighting progress, risks, and outcomes.
- Generate actionable insights from project data to optimize execution, resource utilization, and overall research effectiveness.
Other Duties:
- Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualification:
- Bachelor degree in Electrical Engineering, Biomedical Engineering, or related field.
- A postgraduate degree will be strongly preferred.
Professional Experience:
Essential
- Minimum 2 years of experience with neural recording systems, signal processing or a related technical field.
- Strong proficiency in MATLAB, Python, and C++ for real-time applications.
- Experience with data acquisition systems (National Instruments, Blackrock, etc.).
- Knowledge of digital signal processing, filtering, and feature extraction.
- Understanding of biomedical instrumentation and amplifier systems.
Preferred
- Experience with brain-machine interfaces or neural prosthetics.
- Knowledge of machine learning techniques for signal classification.
- Experience working in clinical or laboratory environments.
- Familiarity with medical device regulations and safety standards.
- Background in control systems or robotics integration.
- Working proficiency in additional languages is an advantage.
