We are recruiting a Research Engineer in Quantum Computing for Computational Fluid Dynamics for the Division of Computational Science and Technology. You will contribute to research on new computational methods for fluid dynamics, initially focusing on quantum-inspired techniques such as tensor networks and tensor-network-based machine learning. You will then investigate how these methods can be reformulated and implemented on quantum computing systems.
The work includes method development, software implementation, numerical experiments, and evaluation against established computational fluid dynamics approaches. Work on courses and other educational activities within the division may also be included.
Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH's core values as a university and public authority.
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Tagged as: Engineering, Physics
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