Nima Razavi
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Associate Professor at Norwegian University of Science and Technology
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Vahid Hosseini
Norwegian University of Science and Technology
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This postdoctoral fellowship at the Norwegian University of Science and Technology is part of the Centre for Research-based Innovation SFI FAST – Future Aluminium Structures , a major national initiative focused on enabling the large-scale use of post-consumer scrap aluminium in high-value structural and safety-critical products. The successful candidate will join the welding and structural integrity research activities of the centre and work in close collaboration with NTNU, SINTEF, and industrial partners across the aluminium value chain. The project centers on process–performance relationships in welding recycled aluminium alloys . The work combines welding process development, in-situ monitoring, microstructural characterization, and mechanical performance evaluation to build experimentally grounded links between process conditions and resulting material behaviour. The aim is to support reliable fabrication routes for recycled aluminium structures using sustainable, data-driven welding methods. Research tasks include developing optimal arc and solid-state welding characteristics, creating monitoring and control approaches to detect and mitigate defects during welding, and evaluating the microstructure and mechanical performance of fabricated components. A major part of the position is to establish process–performance correlations using experimental data and data-assisted analysis, contributing to process optimisation and reliability assessment. The fellow will also help connect the FAST work packages on welding process development and fatigue performance enhancement, and will participate in dissemination through meetings, workshops, and journal publications. The position is embedded in a large interdisciplinary environment built around aluminium materials, manufacturing technologies, circular economy, and digital support tools. FAST also aims to develop the FAST Virtual Lab, combining experimental data, physics-based models, and data-driven methods to support design and manufacturing decisions. The postdoctoral fellow will therefore work in a setting that links laboratory experimentation, industrial relevance, and collaborative research within a national centre of excellence. The position reports to Professor Vahid Hosseini and Associate Professor Nima Razavi.
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