Job Description
Join NeuroSynth Dynamics at the forefront of quantum-AI convergence. We're pioneering next-generation neural interfaces and quantum machine learning algorithms that will redefine human-computer symbiosis by 2026. This role offers unparalleled opportunities to shape the future of computational neuroscience while working with cutting-edge quantum processors in our state-of-the-art facility.
What you'll achieve:
• Develop hybrid quantum-classical neural networks
• Architect adaptive AI systems for quantum hardware
• Lead breakthrough research in quantum cognition modeling
• Collaborate with Nobel laureates and Turing Award winners
• Publish findings in Nature/Science journals
Responsibilities
- Design and implement quantum algorithms for neuromorphic computing
- Create adaptive AI frameworks optimized for quantum processorsLead cross-functional teams in quantum-AI integration projects
- Develop patent-pending quantum neural interface protocols
- Establish industry benchmarks for quantum machine learning efficiency
- Present findings at global conferences (NeurIPS, QIP)
Qualifications
- PhD in Quantum Computing, Computational Neuroscience, or Physics
- 3+ years experience with quantum circuit design (Qiskit/Cirq)
- Published research in quantum machine learning or AI
- Expertise in tensor networks and quantum annealing
- Proficiency in Python/C++ with quantum libraries
- Deep understanding of quantum error correction protocols