qubitsok.com
Cut Noise. Work Quantum.Europe, Germany, Renningen
•
Posted 235 days ago
🏢 Bosch
Role Type
Role Focus
Seniority
Employer Type
This PhD position focuses on developing and testing hybrid quantum-classical methods for simulating industrially relevant materials on a near-term quantum computer. The primary goal is to achieve faster and more accurate material design compared to classical methods. This work aims to contribute to solving global challenges related to sustainability and renewable energy through advanced materials understanding.
Key Responsibilities
Develop and implement hybrid quantum-classical algorithms and tools for materials simulation.
Design and conduct experiments to test and validate these algorithms on quantum computing platforms.
Collaborate with interdisciplinary teams to integrate quantum computing methods with classical simulation tools.
Analyze and interpret simulation results to gain insights into material properties and behaviors.
Document research findings and contribute to scientific publications and presentations.
Participate in regular meetings and discussions to share progress and receive feedback.
Required Skills
Excellent degree in physics, chemistry, or computational science with a focus in theoretical solid-state physics, quantum mechanics, or quantum computing.
Excellent communication skills.
Programming experience (e.g., Python, Fortran, C).
Excellent command of spoken and written English.
Nice-to-have Skills
Knowledge and experience in density functional theory.
Knowledge and experience in Hubbard models.
Knowledge and experience in quantum circuits.
Working knowledge in German.
Technology Tags
The core of the PhD thesis is applying quantum computing to materials design.
The PhD thesis focuses on quantum computing for materials design.
The candidate requires an excellent degree with a focus in theoretical solid-state physics.
The job involves quantum-mechanical calculations for materials and mentions Hubbard models, which are many-body systems.
The role involves developing and implementing hybrid quantum-classical algorithms.
The PhD thesis focuses on workflows for a near-term quantum computer, which implies NISQ algorithms.
The primary goal is to simulate materials using quantum computing approaches.