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Scientist (f/m/x): Quanten Computing for Catchment Hydrology

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A Helmholtz-led initiative is hiring postdoctoral researchers to develop quantum algorithms for fluid dynamics and environmental modeling, focusing on catchment hydrology and multiphase systems. The qFLOW project prioritizes algorithmic innovation—including variational quantum methods (QITE/VarQITE), quantum lattice Boltzmann, and tensor networks—over proving quantum advantage in large-scale applications. Researchers will leverage hybrid quantum-classical approaches, combining physics-informed machine learning with exploratory quantum machine learning (QML) for PDE/ODE-based environmental models. The collaboration spans four Helmholtz centers (HZDR, UFZ, DESY, FZJ), offering access to HPC, GPU emulation, and quantum hardware like IBM Quantum and JUNIQ. Applications close February 10, 2026, targeting scientists with expertise in quantum computing, fluid dynamics, or environmental modeling.
Scientist (f/m/x): Quanten Computing for Catchment Hydrology

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Scientist (f/m/x): Quanten Computing for Catchment Hydrology Application deadline: Tuesday, February 10, 2026Employer web page: https://qflow.hzdr.de/Job type: PostDocThe qFLOW project (Helmholtz Quantum Use Challenge) is recruiting postdoctoral researchers to work on quantum and hybrid quantum–classical algorithms for PDE- and ODE-based models arising in fluid dynamics and environmental systems. The project focuses on algorithmic development rather than quantum advantage demonstrations on large-scale applications. Current research directions include variational quantum algorithms (e.g. QITE/VarQITE), quantum lattice Boltzmann methods, quantum-inspired tensor network approaches for PDEs, and physics-informed machine learning with exploratory links to QML. Application testbeds come from groundwater hydrology and multiphase fluid dynamics. qFLOW is a collaboration between Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Helmholtz Centre for Environmental Research (UFZ), Deutsches Elektronen-Synchrotron (DESY), and Forschungszentrum Jülich (FZJ), with access to HPC infrastructure, GPU-based quantum emulation, and quantum hardware (IBM Quantum, JUNIQ). Log in or register to post comments

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Source: Quantiki