ETH Zurich, in collaboration with IBM, is inviting applications for a fully funded Postdoctoral Researcher position to investigate cutting-edge quantum algorithms applied to turbulent fluid dynamics. This project sits at the convergence of computational fluid dynamics (CFD), quantum computing, and high-performance scientific computing, focusing on the potential of the Lattice Boltzmann Method (LBM) on future quantum hardware.
Position Overview
| Designation | Postdoctoral Researcher |
| Research Area | Quantum Computing, Computational Fluid Dynamics (CFD), Lattice Boltzmann Method (LBM), Scientific Computing |
| Host Institution | ETH Zurich (Department of Mechanical and Process Engineering – D-MAVT) in collaboration with IBM |
| Location | Zurich, Switzerland |
| Employment Type | Full-time (100%), Fixed-term (1 year initial appointment with possible extension to a second year) |
| Application Deadline | November 30, 2026 |
Research Focus & Job Description
As a Postdoctoral Researcher, you will guide and lead research activities on quantum approaches to fluid dynamics, working with substantial scientific independence alongside project teams from both ETH Zurich and IBM.
Key responsibilities include:
- Investigating Lattice Boltzmann algorithms suitable for quantum hardware, including linearisation methods such as Kolmogorov, Koopman, and Carleman approaches.
- Exploring quantum algorithmic strategies to solve fluid problems, including sparse Hamiltonian methods, block encoding, and Quantum Linear Systems Algorithms (QLSAs).
- Developing novel linearisation, integration, and algorithmic approaches tailored for LBM.
- Designing hybrid classical–quantum approaches (e.g., combining LBM for near-wall treatment with Navier–Stokes formulations for core/internal flows).
- Comparing LBM formulations with Navier–Stokes alternatives concerning quantum resource overhead, scalability, numerical stability, and industrial applicability.
- Evaluating and quantifying the potential for quantum advantage in high Reynolds number fluid problems.
- Developing theoretical frameworks, computational evidence, and proof-of-concept demonstrations involving complex geometry and non-trivial boundary conditions.
- Engaging in regular scientific exchanges and presentations (bi-weekly) with ETH and IBM teams.
- Publishing findings in high-impact scientific journals and presenting at major international conferences.
Eligibility and Qualifications
Applicants are expected to demonstrate strong scientific capabilities and cross-disciplinary enthusiasm. Candidates should meet the following criteria:
- Education: A PhD in Computational Fluid Dynamics, Applied Mathematics, Physics, Computer Science, Quantum Computing, or a closely related discipline.
- Core Expertise: Strong theoretical or practical background in at least one key domain: computational fluid dynamics, quantum physics, quantum algorithms, or quantum computing.
- Technical Skills: Proven experience in developing, implementing, and analysing numerical methods; familiarity with high-performance computing (HPC), scientific programming, or quantum computing software frameworks.
- Research Independence: Demonstrated ability to independently address complex technical questions and propose innovative solutions.
- Communication: Excellent command of spoken and written English with strong collaboration skills across interdisciplinary teams.
Note: Candidates whose background does not encompass all project facets but who possess deep expertise in one core domain and are keen to bridge disciplines are strongly encouraged to apply.
What ETH Zurich Offers
- An ambitious research initiative bridging academia and industry in partnership with IBM.
- Access to world-class scientific computing infrastructure at ETH Zurich.
- A vibrant, multicultural academic environment in Zurich, Switzerland.
- Comprehensive employment benefits, including access to the ASVZ sports facilities (120+ sports), mobility allowances, and attractive pension coverage.
How to Apply
Interested candidates must submit their application exclusively via the ETH Zurich online recruitment portal. Applications sent via email or postal services will not be reviewed.
Please prepare and upload the following documents:
- A comprehensive Curriculum Vitae (CV) including a complete list of publications.
- A brief statement of purpose outlining research experience and specific motivation for this role.
- Contact details for two academic referees (or reference letters).
For informal inquiries regarding the position, you may contact Prof. Ilya Karlin at ikarlin@ethz.ch (please do not send job applications directly to this address).
Important Dates & Application Link
Application Deadline: November 30, 2026
