Senior Research Director– Brain-Computer Interfaces / Neural Engineering

This is not a country-specific role, but a long-term research and engineering platform with flexible engagement models.

Flexible engagement: remote collaboration, hybrid participation, or on-site involvement, depending on individual preference.

We are connecting with PhD-level researchers or engineers working in brain-computer interfaces, neural engineering, or neurotechnology within leading universities or global R&D environments.

The initiative focuses on advancing next-generation neural interface technologies, supported by national-level funding and collaboration with universities, research institutes, and industrial partners.

Technical Focus Areas

Brain-Computer Interfaces & Neural Signal Systems

Brain-computer interface systems and neural interfaces
Neural signal acquisition (EEG, ECoG, intracortical recording)
Neural decoding and brain signal processing
AI / machine learning for neural signals

Implantable Neural Interfaces & Neuroelectronics

Implantable neural interfaces and neural probes
Electrode arrays and neural implants
Neural recording chips and neuroelectronics
Wireless neural interface systems

Neuroprosthetics & Clinical Neurotechnology

Brain-controlled prosthetics
Neurorehabilitation technologies
Neuromodulation and neural stimulation systems

Candidate Profile

PhD completed before 2022
PhD from a QS Top 100 university

Currently either:

Academic Path Faculty member or researcher at a QS Top 200 university

Industry Path Research scientist, senior engineer, or technical lead within a Fortune Global 500 company or advanced neurotechnology company.

Platform Highlights

Flexible engagement Remote, hybrid, or on-site collaboration.

Research funding Access to dedicated funding for neurotechnology development.

Cross-sector collaboration Work across neuroscience, AI, robotics, and biomedical engineering.

Initial conversations focus on understanding expertise and potential collaboration pathways.

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