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of instability related both to linear and non-linear phenomena (e.g. sub-synchronous oscillations, limit cycles, bifurcations, etc.). One of the key challenges in this aspect is the black-box nature of converter
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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
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, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
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) the development of a holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3
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-performing, and collaborative PhD student to join our dynamic and international research group at Mid Sweden University, comprising over 30 researchers from around the world, all passionate about innovation
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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-state physics, fluid dynamics, solid-dynamics, and fracture/degradation; all in a highly transient and non-linear system. In this project we will extend multi-component, multi-phase field frameworks
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, or similar. Familiarity with linear algebra libraries and high-performance computing is a merit, but not a requirement. About the position The position provides you with the opportunity to pursue PhD studies
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expected date of completion. We recognize that educational timelines vary and welcome applicants who have followed non-linear academic paths. Copy of your (Research) Master’s thesis: If the thesis is not in
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materials (natural and synthetic fibers, yarns and fabrics) which are highly anisotropic and non-linear. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling