Missions

Position Overview:
Quantum physics and chemistry have provided well-established theoretical tools to predict the behavior of molecules and materials described by the Schrödinger equation. However, many high-impact industrial and societal problems remain intractable for classical computers, urging us to reconsider our preconceptions and shift gears. The world of the infinitely small obeys the laws of quantum mechanics, suggesting the need for a machine governed by the same physics: this marks the birth of quantum computers, a new technological revolution that promises a quantum advantage (speed-up) over classical computers. Within the QLASS European Network, hardware (Sapienza University in Roma, Italy) and software laboratories are developing a cutting-edge photonic quantum computing initiative aimed at simulating Lithium-Ion Batteries. We are seeking a young scientist to develop photonic-based quantum algorithms to model lithium-ion battery systems. This position lies at the intersection of quantum computing, materials science, and quantum chemistry, with an emphasis on leveraging photonic quantum computing technologies to model complex battery materials and enhance energy storage solutions.

Activités

Key Responsibilities:
• Participate in developing, implementing, optimizing, and maintaining quantum algorithms for chemistry problems, with a focus on lithium-ion battery systems using photonic quantum computing.
• Simulate and analyze quantum chemical processes involved in battery operation, including charge/discharge cycles and material degradation.
• Write and maintain Python code for quantum modeling applications, ensuring robust, efficient, and scalable solutions.
• Integrate and interface quantum models with classical modeling tools to improve the predictive accuracy and reliability of battery performance simulations.

Compétences

Qualifications:
• Ph.D. or postdoctoral experience in Quantum Chemistry and/or Quantum Computing, or a closely related field.
• Proficiency in Python.
• Knowledge in the development of quantum algorithms and photonic-based quantum libraries (such as Perceval from Quandela) is advantageous but not required.
• Solid understanding of quantum chemistry and materials science principles, especially as they apply to energy storage and battery materials.
• Strong problem-solving skills and the ability to work collaboratively across interdisciplinary teams.

Contexte de travail

What We Offer:
• The opportunity to work on cutting-edge quantum technologies and contribute to the development of quantum algorithms for energy storage.
• A highly collaborative environment.

Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.

Contraintes et risques

no particular risk