Job description
Join Lumina Quantum Institute, a premier research and development laboratory advancing quantum materials and simulations. We are seeking a seasoned Computational Physicist to lead the design and execution of high-fidelity quantum simulations, collaborate with experimental teams, and mentor the next generation of researchers.
In this role, you will apply advanced numerical methods to simulate many-body quantum systems, develop scalable software pipelines, and contribute to grant-funded projects with impact across technology and science sectors.
Responsibility
- Lead the design and implementation of high-performance simulations for quantum systems using Python, C++, and HPC libraries.
- Collaborate with experimental teams to interpret data and guide experiments and material synthesis efforts.
- Develop and optimize numerical algorithms for many-body physics, incorporating GPU acceleration and parallelization.
- Maintain and extend simulation toolchains (version control, testing, documentation) and ensure reproducibility.
- Publish results in top-tier journals and present at national and international conferences.
- Mentor graduate students and junior researchers; contribute to training programs and code reviews.
- Contribute to grant writing, proposal development, and milestone tracking for funded projects.
Qualification
- PhD in physics, applied mathematics, or a closely related field (or MS with substantial research track record).
- Strong foundation in quantum mechanics, condensed matter physics, and computational methods; experience with many-body approaches.
- Proficiency in Python and C++, plus experience with GPU programming (CUDA/OpenCL) and HPC environments.
- Experience with quantum simulation toolkits (e.g., QuTiP, QuSpin, ITensor) or equivalent libraries.
- Solid background in numerical linear algebra, scientific computing, and data analysis.
- Proven record of publications and conference presentations; excellent communication skills.
- Experience with Linux, shell scripting, Git, and collaborative software development.