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.
