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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 5 days ago
techniques have enormous potential for the modeling, prediction, and control of nonlinear systems governed by partial differential equations. This project will focus on developing machine learning methods
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unique industrial laser platform, are (1) to control the generated XUV light by shaping the driving laser field spectrally, spatially and temporally using ultrafast nonlinear optics, and (2) to explore
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exploration of nonlinear optical and superconducting materials heterostructures. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Inorganic Nanostructures, Data
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Job Description We are looking for a researcher with deep expertise in nanofabrication, III-V and SiN photonic platforms, nonlinear optics, and integrated laser systems — combined with the drive to
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively participate in research
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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devices exploiting the nonlinear kinetic inductance of thin superconducting films, including microwave resonators for frequency-domain multiplexed readout of single photon detectors (kinetic inductance
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dynamic) using simulation software such as Aspen Plus, gPROMS, or COMSOL Multiphysics. Solid understanding of process control strategies, including model predictive control (MPC), nonlinear control, and