Materials Quantum Computing Specialist

2 weeks ago


Brisbane, Queensland, Australia beBeeQuantum Full time $150,000 - $250,000

Advance cutting-edge quantum materials research and computational modeling techniques.

About the Role:

We're seeking a highly skilled Quantum Materials Theorist to join our interdisciplinary team at the forefront of computational physics, materials science, machine learning, and quantum technologies. This role offers the opportunity to develop and refine theoretical and computational approaches for understanding and predicting material properties, contributing to next-generation technologies.

The ideal candidate will have expertise in electronic structure theory, many-body physics, and computational methods to explore complex quantum materials and emergent phenomena. You'll be working alongside specialists in quantum algorithms, materials informatics, computational physics, chemistry, and condensed matter modeling to drive innovation in materials discovery and design.

This is an exceptional chance to engage in high-impact, collaborative research and tackle fundamental and computational challenges in quantum materials science. If you thrive in an intellectually stimulating environment and enjoy tackling complex problems, we encourage you to apply.

Key Responsibilities:
  1. Conduct theoretical and computational research in materials theory and simulations, advancing methodologies for modeling electronic structure, strongly correlated systems, and emergent quantum phenomena.
  2. Develop computational workflows that integrate established and emerging techniques, leveraging advances in HPC, machine learning, and quantum computing.
  3. Collaborate with quantum algorithm developers, computational physicists, and materials scientists to explore new frontiers in quantum materials modeling.
  4. Contribute expertise in electronic structure theory and many-body physics to research efforts focused on understanding and predicting material properties.
  5. Stay at the forefront of developments in computational materials science, incorporating state-of-the-art approaches into research projects.
  6. Serve as a technical leader in interdisciplinary collaborations, working with internal and external teams on innovative solutions in quantum materials research.
  7. Engage in external partnerships, scientific discussions, and technical communication to support the broader research and application of advanced computational materials methodologies.
  8. Document research progress effectively and contribute to publications and external-facing materials that highlight advances in the field.
Requirements:
  • Ph.D. in theoretical or computational physics or chemistry or a closely related field, with a focus on electronic structure and many-body physics.
  • Strong foundation in electronic structure theory, band structure calculations, and computational modeling.
  • Expertise in methodology development within density functional theory (DFT).
  • Proficiency in scientific programming and algorithm development, with experience in Python, Fortran, or C++.
  • Familiarity with HPC environments and large-scale simulations.
  • Enthusiasm for interdisciplinary collaboration, working across physics, chemistry, materials science, machine learning, and computational research teams.
  • Strong peer-reviewed publication record.
Preferred Qualifications:
  • Experience with machine learning and data-driven approaches in computational modeling.
  • Experience with quantum algorithms, particularly their application to materials modeling and electronic structure problems.
  • Familiarity with wave function based computational chemistry methodologies, including coupled-cluster, configuration interaction (CI), and multi reference methods.
  • Expertise in many-body and strongly correlated systems, including Fermi-Hubbard models, tensor networks, and embedding theories.
  • Hands-on coding experience with Wannier function calculations.

Please note that all applications are treated equally and we do not discriminate on any basis. We will only reach out to candidates using official email addresses and will never ask for bank account information during the interview process.



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