PhD in Quantum Computing for Materials Design

ZipRecruiter; Renningen; Vor Ort; EUR 45.000 - 80.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen PhD-Kandidaten, der an der Entwicklung hybrider Quanten-Klassik-Algorithmen für die Materialsimulation arbeitet. Diese spannende Rolle bietet die Möglichkeit, an der Spitze der Quantencomputing-Technologie zu stehen und einen bedeutenden Beitrag zur Lösung globaler Herausforderungen in den Bereichen Nachhaltigkeit und erneuerbare Energien zu leisten. In einem dynamischen und kreativen Umfeld können Sie Ihre Fähigkeiten in der theoretischen Physik und Programmierung einsetzen, um neue Ansätze zur Materialsimulation zu entwickeln. Wenn Sie eine Leidenschaft für Forschung und Entwicklung haben, könnte diese Gelegenheit genau das Richtige für Sie sein.

Leistungen

Flexible Arbeitszeiten

Breites Angebot an Gesundheits- und Sportaktivitäten

Vermittlungsdienst für Kinderbetreuung

Mitarbeiterrabatte

Raum für kreative Arbeit

Soziale Beratung und Pflegeleistungen

Qualifikationen

• Exzellente Kenntnisse in theoretischer Festkörperphysik oder Quantenmechanik erforderlich.
• Programmierungserfahrung in Python, Fortran oder C ist von Vorteil.

Aufgaben

• Entwicklung und Implementierung hybrider Quanten-Klassik-Algorithmen für Materialsimulation.
• Durchführung von Experimenten zur Validierung dieser Algorithmen.

Kenntnisse

Programmierung (Python, Fortran, C)

Kommunikationsfähigkeiten

Theoretische Festkörperphysik

Quantenmechanik

Dichtefunktionaltheorie

Hubbard-Modelle

Quanten-Schaltungen

Ausbildung

Ausgezeichnetes Studium in Physik, Chemie oder Computerwissenschaften

Tools

Quantencomputing-Plattformen

Jobbeschreibung

Job Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Employment type: Limited
Working hours: Full-Time
Job location: Renningen

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. 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.

Minimum Requirements:

• 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.

Additional Benefits:

• Work-life balance: Flexible working in terms of time, place and working model.
• Health & Sport: Wide range of health and sports activities.
• Childcare: Intermediary service for childcare services.
• Employee discounts: Discounts for employees.
• Room for creativity: Space for creative work.
• In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan.

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