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Information Technology 🏢 Full Time ⭐️ Verified

Quantum UX Researcher

NeuroSync Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join NeuroSync Labs at the forefront of human-computer interaction innovation. We're seeking a visionary Quantum UX Researcher to decode neural interfaces and shape the digital experience landscape for 2026. This role bridges neuroscience, AI, and design to create intuitive mind-controlled interfaces that will revolutionize how humans interact with technology.

As a pioneer in this emerging field, you'll lead groundbreaking research into brain-computer interfaces (BCIs), translating neural signals into seamless digital experiences. Our multidisciplinary team combines neuroscientists, AI engineers, and futurists to build the next generation of human augmentation technologies.

Responsibilities

  • Design and execute neuro-UX studies using fNIRS and EEG technologies
  • Develop predictive neural interaction models using quantum computing frameworks
  • Create ethical guidelines for neural data collection and interface design
  • Collaborate with quantum AI engineers to prototype neural interfaces
  • Produce research whitepapers on the future of human-computer symbiosis
  • Lead cross-functional workshops on 2026 interaction paradigms
  • Establish industry standards for neural accessibility and safety protocols

Qualifications

  • PhD in Cognitive Neuroscience or Human-Computer Interaction
  • 3+ years experience with neural interface technologies
  • Proficiency in quantum machine learning frameworks (Qiskit, Cirq)
  • Published research in IEEE Transactions on Neural Systems
  • Expertise in neuro-ethical frameworks and data governance
  • Portfolio demonstrating BCIs or neural UX innovations
  • Certification in Advanced Neuroimaging Techniques
  • Experience with AR/VR neural feedback systems

Required Skills

Neuroscience Quantum Computing Brain-Computer Interfaces UX Research AI Ethics fNIRS Neural Data Modeling Predictive UX

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