PhD in Quantum Computing for Materials Design
PhD in Quantum Computing for Materials Design
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Job Description
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:
- 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 your research findings and contribute to scientific publications and presentations.
- Participate in regular meetings and discussions to share progress and receive feedback.
Qualifications :
- 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 teamplayer
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 Information :
submit all relevant documents (incl. curriculum vitae certificates).
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need support during your application
Sarah Schneck (Human Resources)
49(9352)18-8527
Need further information about the job
Maximilian Amsler (Functional Department)
494
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
