Postdoctoral Researcher in Quantum Computing for Fluid Dynamics

h3Postdoctoral Researcher in Quantum Computing for Fluid Dynamics /h3 pbJoin us in exploring the future of computational fluid dynamics /b /p pHow can quantum computers help us simulate turbulent flows that are beyond the reach of today’s classical computers? /p pWe are looking for a highly motivated bPostdoctoral Researcher /b to join our group at ETH Zurich and investigate quantum algorithms for turbulent fluid dynamics. The project focuses on the bLattice Boltzmann Method (LBM) /b and its potential implementation on future quantum hardware, with applications to industrially relevant flows involving complex geometries and non-trivial boundary conditions. /p pThe project is carried out in collaboration with bIBM /b, 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. /p pYou 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. /p pYou will lead the research activities on quantum approaches to fluid dynamics and contribute to defining the direction of the project. /p pYour tasks will include: /p ul liInvestigate Lattice Boltzmann algorithms suitable for implementation on quantum computers, including different approaches to linearisation such as bKolmogorov, Koopman and Carleman methods /b. /li liStudy quantum algorithmic approaches for solving the resulting problems, including bsparse Hamiltonian methods, block encoding and quantum linear systems algorithms (QLSAs) /b. /li liDevelop and investigate novel linearisation, integration and algorithmic approaches where existing methods are not well suited to LBM. /li liExplore bhybrid classical–quantum approaches /b, including the combination of LBM for wall treatment with Navier–Stokes formulations for internal flows. /li liCompare LBM with alternative formulations, particularly bNavier–Stokes /b, in terms of quantum resource requirements, numerical stability, scalability and suitability for realistic applications. /li liQuantify the potential for bquantum advantage /b in fluid-dynamics problems at high Reynolds numbers, including the influence of flow geometry. /li liDevelop theoretical and computational evidence for quantum advantage on a simplified but industrially relevant fluid-dynamics problem. /li liDepending on the research findings, develop a bproof‑of‑concept demonstration /b involving complex geometry and non‑trivial boundary conditions. /li liPresent research results to the ETH and IBM project teams, approximately every two weeks, and contribute to project planning and scientific discussions. /li liPublish your findings in high-quality scientific journals and present them at international conferences. /li /ul h3Profile /h3 pYou bring a strong background in quantum physics, computational science and a genuine interest in developing new approaches at the intersection of fluid dynamics and quantum computing. In particular: /p ul liYou hold a bPhD in computational fluid dynamics, applied mathematics, physics, computer science, quantum computing, or a closely related field /b. /li liYou have strong expertise in: bcomputational fluid dynamics, quantum physics, quantum algorithms, or quantum computing /b. /li liYou have experience developing and analysing numerical or computational methods for scientific applications. /li liYou are able to work independently on technically challenging research questions and formulate new approaches when existing methods are insufficient. /li liYou have strong analytical and problem‑solving skills and are comfortable working across disciplinary boundaries. /li liYou communicate scientific results clearly in written and spoken English and enjoy collaborating with researchers from different backgrounds. /li liExperience with high‑performance computing, scientific programming and/or quantum‑computing frameworks is highly relevant to this position. /li /ul pWe welcome applications 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. /p h3We offer /h3 pYou will join bthe computational kinetics group at D‑MAVT /b, an interdisciplinary research environment at ETH Zurich working on computational fluid dynamics. The position offers the opportunity to work on a timely and challenging research problem with potential impact on the future of scientific computing. /p pIn particular, you will benefit from: /p ul liAn intellectually ambitious research project at the intersection of bquantum computing, computational fluid dynamics and high‑performance computing /b. /li liDirect collaboration with bIBM researchers /b and exposure to an industrial research environment. /li liThe opportunity to shape the research direction and develop your own scientific ideas. /li liAccess to the research environment and infrastructure of ETH Zurich. /li liOpportunities to publish and present your work internationally. /li liA highly international and interdisciplinary research environment in Zurich. /li liProfessional development opportunities and support for your scientific career. /li liETH Zurich's commitment to a sustainable and climate‑neutral university. /li liA range of benefits, including public‑transport and other mobility offers, access to the bASVZ sports programme with more than 120 sports /b, childcare options and attractive pension benefits. /li /ul pIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future . /p pQuestions regarding the position should be directed to Prof. IlyaKarlin,( ) (no applications). /p pETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting‑edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow. /p #J-18808-Ljbffr