Job Description
Join NeuroTech 2026 at the forefront of computational neuroscience and quantum machine learning. We're pioneering brain-computer interfaces that will redefine human potential by 2026. As a Quantum AI Research Scientist, you'll develop algorithms to process neural data through quantum-resistant frameworks, accelerating breakthroughs in neuroplasticity modeling and real-time cognitive enhancement.
Our Austin lab combines cutting-edge hardware with interdisciplinary collaboration to solve humanity's most complex challenges. This role offers unparalleled resources for publishing in top-tier journals and translating research into commercial applications.
Responsibilities
- Design quantum-optimized algorithms for neural signal processing
- Lead development of next-gen brain-computer interface protocols
- Collaborate with neuroscientists to model synaptic plasticity at quantum scale
- Implement quantum-resistant security for neural data pipelines
- Validate prototypes using 128-qubit processing systems
- Drive open-source contributions to quantum ML frameworks
- Present findings at IEEE Quantum Computing conferences
Qualifications
- PhD in Quantum Computing, Computational Neuroscience, or related field
- 3+ years experience with quantum machine learning frameworks (Qiskit, Cirq)
- Expertise in tensor networks for high-dimensional neural data
- Published research in Nature/Science or equivalent tier journals
- Proficiency with neuromorphic computing architectures (Loihi, SpiNNaker)
- Strong background in differential topology for neural manifold analysis
- Experience with FDA-regulated neurotech device development