PhD in Quantum Computing for Materials Design at Bosch at Robert Bosch GmbH

Robert Bosch GmbH; Renningen; Vor Ort; EUR 40.000 - 80.000; Vollzeit

Zusammenfassung

Ein zukunftsorientiertes Unternehmen sucht einen motivierten PhD-Kandidaten, der an der Entwicklung hybrider quanten-klassischer Workflows arbeitet. Diese spannende Rolle bietet die Möglichkeit, innovative Algorithmen für die Materialsimulation zu entwickeln und zu testen, die das Potenzial haben, die Materialforschung zu revolutionieren. Sie werden in interdisziplinären Teams arbeiten und Ihre Ergebnisse dokumentieren, um zur wissenschaftlichen Gemeinschaft beizutragen. Wenn Sie eine Leidenschaft für Quantencomputing und Materialwissenschaften haben, ist dies die perfekte Gelegenheit für Sie.

Qualifikationen

• Hervorragender Abschluss in Physik, Chemie oder verwandten Bereichen erforderlich.
• Zusätzliche Kenntnisse in Dichtefunktionaltheorie und Quantenkreisen von Vorteil.

Aufgaben

• Entwicklung und Implementierung hybrider quanten-klassischer Algorithmen für Materialsimulation.
• Durchführung von Experimenten zur Validierung dieser Algorithmen auf Quantencomputern.

Kenntnisse

Programmiererfahrung

Kommunikationsfähigkeiten

Dichtefunktionaltheorie

Hubbard-Modelle

Quantenkreise

Ausbildung

Ausgezeichnete Abschluss in Physik

Chemie oder rechnerische Wissenschaften

Tools

Python

Fortran

C

Jobbeschreibung

Quantum computing offers a transformative approach to materials simulation, potentially performing quantum-mechanical calculations orders of magnitude faster and more accurately than classical methods on conventional high-performance computers. This unlocks the true computational design of novel materials, paving the way for solutions to global challenges related to sustainability and renewable energies. This capability can revolutionize various fields, enabling, for example, the improvement of catalytic processes and a deeper, atomistic understanding of material degradation. These advancements pave the way for knowledge-based optimization of load, process, and operating conditions in devices like fuel cells, ultimately reducing our reliance on scarce, environmentally harmful, and expensive materials.

The focus of the PhD thesis is the development and testing of hybrid quantum-classical workflows and relevant models for simulating industrially relevant materials on a near-term quantum computer. As a PhD candidate, you will:

1. Develop and implement hybrid quantum-classical algorithms and tools for materials simulation.
2. Design and conduct experiments to test and validate these algorithms on quantum computing platforms.
3. Collaborate with interdisciplinary teams to integrate quantum computing methods with classical simulation tools.
4. Analyze and interpret simulation results to gain insights into material properties and behaviors.
5. Document your research findings and contribute to scientific publications and presentations.
6. Participate in regular meetings and discussions to share progress and receive feedback.

Your profile

Education: excellent degree in physics, chemistry, or computational science with focus in theoretical solid-state physics, quantum mechanics, quantum computing, or related fields.

Personality: self-motivated, curious, creative, open-minded, and team player.

Working Practice: independent, goal-oriented, and logical thinking.

Experience and Skills: Additional knowledge and experience in density functional theory, Hubbard models, or quantum circuits is of benefit, but not mandatory; excellent communication skills; programming experience (e.g., Python, Fortran, C).

Language: excellent command of spoken and written English; working knowledge in German desired but not mandatory.