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Quantum UX Research Lead

NeuroSync Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuroSync Labs at the forefront of human-computer interaction as we pioneer the next wave of immersive experiences. We're seeking a visionary Quantum UX Research Lead to decode neural interfaces and shape how humanity interacts with emerging technologies by 2026. This role bridges neuroscience, AI, and behavioral psychology to create intuitive, empathetic digital experiences.

You'll lead groundbreaking research on brain-computer interfaces, develop predictive UX models for AR/VR environments, and collaborate with quantum computing teams to solve complex human cognition challenges. If you thrive at the intersection of technology and human potential, this is your moment to define tomorrow's digital landscape.

Responsibilities

  • Design and execute neuro-UX studies using fNIRS and EEG technologies
  • Develop predictive behavior models for quantum-entangled interfaces
  • Create ethical frameworks for neural data collection and application
  • Lead cross-functional teams in prototyping 2026-era interaction paradigms
  • Present findings to C-suite and industry thought leaders at global tech summits
  • Establish NeuroSync's patent portfolio in neuro-interaction design
  • Mentor researchers in emerging cognitive science methodologies

Qualifications

  • PhD in Cognitive Neuroscience or Human-Computer Interaction
  • 5+ years leading UX research with neural interface technologies
  • Published research in IEEE Transactions on Affective Computing or similar
  • Proficiency in Python, TensorFlow, and quantum computing APIs
  • Certification in neuro-ethics from IEEE or ACM
  • Experience with AR/VR development using Unity/Unreal Engine
  • Portfolio demonstrating 3+ award-winning neuro-interaction projects
  • Deep understanding of quantum information theory fundamentals

Required Skills

Neuroscience Quantum Computing UX Research AR/VR Development Predictive Modeling Ethical AI Brain-Computer Interfaces Cognitive Psychology

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