Join us in exploring the future of computational fluid dynamics. We are looking for a highly motivated Postdoctoral Researcher to join our group at ETH Zurich and investigate quantum algorithms for turbulent fluid dynamics. The project focuses on the Lattice Boltzmann Method (LBM) and its potential implementation on future quantum hardware, with applications to industrially relevant flows involving complex geometries and non-trivial boundary conditions. The project is carried out in collaboration with IBM, providing the opportunity to work at the interface of computational fluid dynamics, quantum computing and high-performance scientific computing, and to engage with researchers from both academia and industry. You will have substantial scientific independence while working closely with the ETH and IBM project teams. The initial appointment is for one year, with the possibility of extending the project to a second year based on the research results and project review.
Tasks
- Lead research activities on quantum approaches to fluid dynamics and contribute to defining the direction of the project.
- Investigate Lattice Boltzmann algorithms suitable for implementation on quantum computers, including approaches to linearisation such as Kolmogorov, Koopman and Carleman methods.
- Study quantum algorithmic approaches for solving the resulting problems, including sparse Hamiltonian methods, block encoding and quantum linear systems algorithms (QLSAs).
- Develop and investigate novel linearisation, integration and algorithmic approaches where existing methods are not well suited to LBM.
- Explore hybrid classical–quantum approaches, including combining LBM for wall treatment with Navier–Stokes formulations for internal flows.
- Compare LBM with alternative formulations, particularly Navier–Stokes, in terms of quantum resource requirements, numerical stability, scalability and suitability for realistic applications.
- Quantify the potential for quantum advantage in fluid-dynamics problems at high Reynolds numbers, including the influence of flow geometry.
- Develop theoretical and computational evidence for quantum advantage on a simplified but industrially relevant fluid-dynamics problem.
- Depending on research findings, develop a proof-of-concept demonstration involving complex geometry and non-trivial boundary conditions.
- Present research results to the ETH and IBM project teams, approximately every two weeks, and contribute to project planning and scientific discussions.
- Publish findings in high-quality scientific journals and present them at international conferences.
Requirements
- Strong background in quantum physics, computational science and a genuine interest in developing new approaches at the intersection of fluid dynamics and quantum computing.
- PhD in computational fluid dynamics, applied mathematics, physics, computer science, quantum computing, or a closely related field.
- Strong expertise in computational fluid dynamics, quantum physics, quantum algorithms, or quantum computing.
- Experience developing and analysing numerical or computational methods for scientific applications.
- Ability to work independently on technically challenging research questions and formulate new approaches when existing methods are insufficient.
- Strong analytical and problem-solving skills and comfort working across disciplinary boundaries.
- Ability to communicate scientific results clearly in written and spoken English and enjoy collaborating with researchers from different backgrounds.
- Experience with high-performance computing, scientific programming and/or quantum-computing frameworks is highly relevant.
- Applications are welcomed from candidates whose expertise does not cover every aspect of the project but who bring a strong foundation in one of its core areas and are motivated to work across disciplines.
Benefits
- Opportunity to work on a timely and challenging research problem with potential impact on the future of scientific computing.
- An intellectually ambitious research project at the intersection of quantum computing, computational fluid dynamics and high-performance computing.
- Direct collaboration with IBM researchers and exposure to an industrial research environment.
- Opportunity to shape the research direction and develop your own scientific ideas.
- Access to the research environment and infrastructure of ETH Zurich.
- Opportunities to publish and present your work internationally.
- A highly international and interdisciplinary research environment in Zurich.
- Professional development opportunities and support for your scientific career.
- ETH Zurich's commitment to a sustainable and climate-neutral university.
- A range of benefits, including public-transport and other mobility offers, access to the ASVZ sports programme with more than 120 sports, childcare options and attractive pension benefits.
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Über uns
Das Team
You will join the computational kinetics group at D-MAVT, an interdisciplinary research environment at ETH Zurich working on computational fluid dynamics. The project is carried out in collaboration with IBM, offering engagement with researchers from both academia and industry.