Job Description
Join NeuroSync Technologies at the forefront of human-computer interaction as we pioneer quantum-driven UX research for 2026. We're seeking a visionary Quantum UX Research Lead to decode neural interfaces and shape the next era of immersive digital experiences. This role merges cutting-edge neuroscience, quantum computing principles, and human-centered design to create intuitive interfaces that adapt to subconscious user behaviors.
Why NeuroSync? We're revolutionizing how humans interact with AI through our proprietary NeuroQuantum platform, already adopted by Fortune 500 companies in healthcare, automotive, and entertainment sectors. Your work will directly impact the development of empathetic AI systems that anticipate user needs before they're consciously expressed.
Responsibilities
- Design and execute quantum-enhanced user research studies incorporating biometric, EEG, and quantum-encrypted behavioral data
- Develop predictive UX models using quantum computing algorithms to forecast user behavior in immersive environments
- Lead cross-functional teams of neuroscientists, quantum engineers, and AI specialists to integrate research findings into product roadmaps
- Create empathetic AI training datasets through quantum-encrypted user interaction analysis
- Establish industry-first ethical frameworks for quantum UX research and neural data privacy
- Present findings to C-suite executives and investors as part of our 2026 product strategy
Qualifications
- PhD in Cognitive Science, Human-Computer Interaction, or Quantum Computing with 5+ years UX research experience
- Proficiency in quantum computing platforms (Qiskit, Cirq) and neural interface technologies (EEG, fNIRS)
- Published research in quantum UX or neuroadaptive systems from top-tier conferences (CHI, UIST, ACM)
- Experience with ethical AI frameworks and GDPR/CCPA compliance for neural data
- Portfolio demonstrating quantum-enhanced UX prototypes for immersive environments
- Expertise in biometric data analysis and quantum-encrypted user behavior modeling