Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution! We're pioneering quantum AI integration and seeking visionary Research Scientists to redefine computational boundaries. Our multidisciplinary team operates in state-of-the-art labs where theoretical physics meets machine learning. This role offers unparalleled opportunities to publish breakthrough papers, collaborate with Nobel laureates, and shape the next decade of intelligent systems. What you'll achieve:
- Develop novel quantum algorithms for real-world AI applications
- Lead cross-functional projects with robotics, bioinformatics, and space exploration teams
- Secure patents in quantum machine learning methodologies
- Present findings at global tech summits including TED and Web Summit
Responsibilities
- Design and implement quantum neural networks using Qiskit and Cirq frameworks
- Collaborate with hardware teams to optimize quantum-classical hybrid architectures
- Author peer-reviewed publications in Nature/Science journals
- Mentor PhD candidates and junior researchers in quantum AI principles
- Secure $2M+ in government/private research grants annually
- Develop ethical frameworks for quantum AI deployment
- Lead open-source contributions to quantum AI libraries
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- 3+ years hands-on experience with quantum simulators (IBM Q, Rigetti)
- Published research in quantum algorithms or quantum machine learning
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing clusters (HPC)
- Strong background in linear algebra and probability theory
- Track record of securing research funding