Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI convergence solutions. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that will redefine computational capabilities. This role offers unparalleled opportunities to shape the future of machine learning, cryptography, and quantum computing in a cutting-edge environment with world-class collaborators and resources.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead cross-functional research teams in developing hybrid quantum-classical computing frameworks
- Publish breakthrough research in top-tier journals and present at international conferences
- Collaborate with hardware engineers to optimize quantum algorithm performance on emerging platforms
- Secure and manage research funding through competitive grant applications
- Translate theoretical concepts into scalable prototype systems with industry applications
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Publication record in quantum machine learning or related fields
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault-tolerant architectures
- Demonstrated ability to lead complex research projects from conception to completion
- Strong background in linear algebra, probability theory, and information theory