Job Description
Join NeuroSync Labs at the forefront of human-computer interaction for 2026! We're seeking a visionary Quantum UX Researcher to decode next-gen neural interfaces and pioneer brain-computer experiences. This role blends neuroscience, AI ethics, and immersive design to shape how humanity interacts with technology in the coming decade.
As a key member of our Future Interfaces Division, you'll develop predictive user models for quantum computing interfaces and validate neural interaction protocols. You'll collaborate with neuroscientists, quantum engineers, and AI ethicists to create seamless human-machine symbiosis.
Why Join Us? Work in our Austin Innovation Hub with state-of-the-art neuro-imaging labs and quantum development environments. We offer competitive equity packages, unlimited learning stipends, and the chance to define the future of human cognition.
Responsibilities
- Design and conduct neural UX studies using fNIRS and EEG technologies for quantum computing interfaces
- Develop predictive user behavior models for next-gen brain-computer interaction systems
- Create ethical frameworks for AI-assisted decision-making in neural interfaces
- Lead cross-functional workshops with quantum engineers to translate research into prototypes
- Author white papers on cognitive load optimization for 6G+ networks
- Validate AR/VR neurofeedback loops for medical and industrial applications
- Present findings at international conferences on human-AI symbiosis
Qualifications
- PhD in Cognitive Science, Human-Computer Interaction, or Neuroscience with 5+ years industry experience
- Proficiency in quantum UX research methodologies and neural data analysis tools (MATLAB, Python with MNE)
- Published work on human-AI interaction ethics or brain-computer interfaces
- Experience with fNIRS/EEG data collection and quantum computing visualization
- Portfolio demonstrating neuro-UX designs for emerging technologies
- Deep understanding of ISO 9241-210:2019 and WCAG 3.0 accessibility standards
- Ability to translate complex neuroscientific concepts into actionable design principles