Chief Scientist, Brain–Computer Interfaces

WABO; North Carolina; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Social insurance and housing fund

Weekends off and holidays

Annual health checks and holidays

Meal and transport allowances

Technical exchanges and cross‑disciplo

Equity or option incentives

Job summary

WABO is seeking a PhD-level researcher to lead BCI research initiatives. You will set strategic directions, oversee experiments on signal quality and online stability, and coordinate external collaborations with engineering validation.

The role emphasizes rigorous documentation, versioned work, and reproducible results across disciplines. The ideal candidate has a strong track record in neural decoding or neural engineering, and can build and lead research teams while communicating findings

Qualifications

• PhD in biomedical engineering, neuroscience or computer science.
• Independent research and team leadership experience.
• A record in neural decoding, neural engineering or physiological signals.
• Experience building and developing research teams.
• Understanding of acquisition, experiments, algorithms and deployment.
• Read English research literature independently, design studies and explain technical contributions through experiments or prototypes.
• Explain your individual contribution clearly and work carefully across disciplines.

Responsibilities

• Set the BCI research direction and milestones.
• Lead work on signal quality, individual differences and online stability.
• Connect research prototypes, external collaboration and engineering validation.
• Review research plans and resources, and advance reproducible experiments, technical reports and prototypes.
• Document the research or engineering process, maintain versions and evidence, and make results reviewable.
• Review, integrate and improve work with relevant teams to advance project milestones.

Skills

Independent research

Team leadership

Neural decoding

Neural engineering

Physiological signals

Cross-disciplinary collaboration

English literature reading

Education

PhD in Biomedical Engineering/Neuroscience/CS

Tools

Data acquisition

Algorithms deployment

Prototyping

Job description

• Set the BCI research direction and milestones.
• Lead work on signal quality, individual differences and online stability.
• Connect research prototypes, external collaboration and engineering validation.
• Review research plans and resources, and advance reproducible experiments, technical reports and prototypes.
• Document the research or engineering process, maintain versions and evidence, and make results reviewable.
• Review, integrate and improve work with relevant teams to advance project milestones.

What you could work on

• Set the BCI research direction and milestones.
• Lead work on signal quality, individual differences and online stability.
• Connect research prototypes, external collaboration and engineering validation.
• Review research plans and resources, and advance reproducible experiments, technical reports and prototypes.
• Document the research or engineering process, maintain versions and evidence, and make results reviewable.
• Review, integrate and improve work with relevant teams to advance project milestones.

What we are looking for

• Education: PhD. Relevant fields include biomedical engineering, neuroscience or computer science, or a related field.
• Experience: Independent research and team leadership experience.
• A record in neural decoding, neural engineering or physiological signals.
• Experience building and developing research teams.
• Understanding of acquisition, experiments, algorithms and deployment.
• Read English research literature independently, design studies and explain technical contributions through experiments or prototypes.
• Explain your individual contribution clearly and work carefully across disciplines.

Helpful experience

• Research translation or cross-institutional and industry technical leadership.

Benefits and development

• Social insurance and housing fund contributions follow applicable requirements and company policy.
• Weekends off, statutory holidays and paid annual leave.
• Annual health checks, holiday benefits, and meal and transport allowances under company policy.
• Technical exchanges, professional learning and cross-disciplinary R&D collaboration.
• Eligible technical advances, patents, research translation and project delivery may receive outcome-based rewards.
• Eligible core talent may participate in equity or option incentives under the relevant plans and agreements.

Research and talent support

• Equipment, data, compute and experimental conditions are arranged according to research and project needs.
• Professional conferences and academic exchanges, including approval and reimbursement, follow company processes.
• Research goals are defined around the area of work, with opportunities for technical development and research translation.
• Publications, patents and technical outcomes are supported under applicable policies and agreements, including publication and intellectual-property arrangements.
• Eligible talent may receive help applying for local talent programs; eligibility and amounts remain subject to the relevant review.

Compensation, location, working arrangements, headcount and timing are discussed around project needs and your experience.