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scientific career and the future of ocean technologies. This position empowers talented scientists to pursue bold, curiosity-driven research, build an independent profile, and turn ideas into impactful
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Researcher (R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 5 Apr 2026 - 23:00 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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practices, software testing, or reproducible workflow development. Our offer A 1-year full‑time position with a flexible hybrid onsite/remote working model, combining time at VIB headquarters in Ghent and
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systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a
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for converged Wireless-opTical cOnfiguratioNs”. The research will cover three key pillars: Artificial-Intelligence (AI)-driven models in the access domain, focusing on CF technology to efficiently acquire Channel
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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collaborative researcher with experience aligned to continuum battery modelling and degradation science. The points below give an overview of the profile we’re looking for: A PhD in engineering, mathematics
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translational research, data‑driven discovery, or applied computational biology. Knowledge of DevOps practices, software testing, or reproducible workflow development. Our offer A 1-year full‑time position with a
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
the energy transition Experience and competency in quantitative analysis, including applied econometrics Experience in applied theoretical modeling a plus Proficient at statistical software, e.g., STATA