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sustainable infrastructure. In this role, the successful candidate will develop and validate advanced numerical models of energy micropiles, undertake large-scale simulations and data-driven analysis to explore
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of each project. Computational mechanics PhD projects PhD 1: Rolling contact fatigue in green bearing steels – numerical microstructural modelling [SKF; Ron Peerlings] PhD 2: Predictive analysis of edge
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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advantageous: Semiclassical analysis Numerical analysis Spectral theory Theory of partial differential equations (PDEs) This opportunity is open to researchers within 0–5 years of PhD award, allowing for career
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck (IQOQI-IBK) | Austria | 8 days ago
Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 9 Oct 2026 - 23:55 (Europe/Brussels) Country Austria Type of Contract Temporary Job Status Full-time Is the job funded
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, photophysics, and numerical modeling. Molecular building blocks will be synthesized and used to construct COFs with predetermined architectures. The resulting materials will be characterized using PXRD, SEM
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analysis: exploring relationships among quantum divergences and their role in statistical efficiency. Simulation and numerical validation: using small- to mid-scale quantum simulators and classical emulators
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Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar 2027
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and