Job Description
Join Nexus Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Futurist Research Lead to architect intelligent systems that will reshape industries within the next 3 years. This role combines visionary thinking with hands-on research to develop predictive AI models, quantum-optimized algorithms, and autonomous decision frameworks.
In our Austin innovation hub, you'll collaborate with Nobel laureates, industry disruptors, and government futurists to solve humanity's grand challenges. We offer unparalleled resources, including quantum computing access and real-time data streams from global IoT networks. Your work will directly influence policy frameworks, corporate roadmaps, and emerging technology standards.
Responsibilities
- Design and implement predictive AI models forecasting socio-technological trends through 2030
- Lead cross-disciplinary research teams in quantum-AI convergence projects
- Develop autonomous decision frameworks for complex adaptive systems
- Author white papers and policy briefs for G20 technology summits
- Architect neural interfaces for human-AI symbiotic ecosystems
- Establish ethical frameworks for next-generation autonomous systems
- Create simulation models for large-scale societal transformation scenarios
Qualifications
- PhD in AI, Systems Theory, or Computational Sociology with 8+ years research experience
- Published work in Nature/Science journals on complex adaptive systems
- Expertise in quantum machine learning and neuromorphic computing
- Proven track record of advising Fortune 500 C-suite on tech strategy
- Deep understanding of global policy landscapes for emerging technologies
- Fluency in Python, TensorFlow Quantum, and simulation frameworks
- Experience with multi-agent reinforcement learning at scale