Job Description
Join Nexus 2026 Labs at the forefront of quantum-AI convergence. We're pioneering breakthroughs in computational consciousness and predictive modeling for 2026's technological landscape. Our Austin-based research hub offers unparalleled resources to transform theoretical physics into practical applications. This role requires a visionary thinker who can navigate the intersection of quantum computing, neural networks, and emergent AI paradigms.
Responsibilities
- Design quantum algorithms for AI training optimization
- Lead cross-disciplinary research on quantum neural networks
- Develop predictive models for 2026 technology adoption curves
- Secure $5M+ in government/private research grants
- Mentor PhD candidates in quantum-AI synthesis
- Author breakthrough publications in Nature Physics
- Collaborate with DARPA and IEEE quantum initiatives
Qualifications
- PhD in Quantum Computing or Computational Physics
- 3+ years in quantum-AI hybrid systems
- Published research in top-tier journals (QIP, PRL)
- Expertise in Qiskit/IBM Quantum Experience
- Proficiency in tensor network simulations
- Experience with federated quantum learning
- Track record of securing research funding
- Strong background in complexity theory