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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging of thick and strongly scattering
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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Demonstrated prior experience simulating a complex system and comparing to experiment Expertise in solving highly nonlinear and coupled equations. Experience with Python or C++ and both Git and UNIX Excellent
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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knowledge in mechanical vibrations and nonlinear dynamics, demonstrated through scientific publications and successful completion of 2nd and 3rd cycle (Master’s and PhD level) curricular units (proven
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vibration. Journal of Fluid Mechanics, 794, 565-594. Pfister, J. L., & Marquet, O. (2020). Fluid–structure stability analyses and nonlinear dynamics of flexible splitter plates interacting with a circular
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aims to develop hybrid quantum–classical approaches for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how
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. The researcher will focus on efficient functional iterative techniques to solve the nonlinearities in the model equations, on robust space discretization methods and on effective meshing techniques, including
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physics , Neutrino physucs , Noise mitigation , Non-equilibrium quantum physics , Nonequilibrium physics in bulk and molecular quantum materials , Nonlinear and Complex Systems , Nonlinear Integral Systems