qFLOW Recruits Postdocs For Quantum Fluid Algorithms
Helmholtz's qFLOW project is recruiting postdoctoral researchers with an application deadline of Thursday, February 19, 2026, to develop quantum and hybrid quantum–classical algorithms for PDE- and ODE-based fluid dynamics and environmental system models. The effort emphasizes algorithmic development including variational quantum algorithms, quantum lattice Boltzmann, tensor-network PDE approaches and physics-informed machine learning across groundwater hydrology and multiphase fluid-dynamics testbeds. Collaborators include HZDR, UFZ, DESY and FZJ with HPC, GPU emulation, IBM Quantum and JUNIQ access.
Key Points
- 1Recruit postdoctoral researchers to develop quantum and hybrid quantum–classical algorithms for PDE/ODE models.
- 2Emphasize algorithmic development over large-scale quantum advantage, targeting fluid and environmental systems.
- 3Provide access to HPC, GPU emulation and IBM Quantum and JUNIQ hardware for experimental research.
Scoring Rationale
Strong research scope and institutional backing, but primarily a recruitment announcement with limited technical detail.
Sources
Public references used for this report.
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