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analysis, our interdisciplinary research connects technical and social sciences to address challenges such as climate change, energy transitions and sustainable land use. The position(s) will be based in
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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, and ageing, life cycle analysis & recycling. The project The project will be run within the BatMAX hub at MAX IV, which is a consortium of 4 universities (Chalmers, Lund, Uppsala and Aarhus) that will
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-incident analysis reporting within an end-to-end SOC ecosystem comprising a technology provider, a SOC operator, and SOC customers. We are seeking a candidate with a strong publication record to conduct
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production, recycling and value chain optimisation. The research focuses on applied AI in areas such as sensor data analysis, time series modelling, automation and decision support, with strong links
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within the project, including data collection, analysis, scientific reporting, and dissemination. Supervision of students may be included. The postdoc will primarily work with: • Co-creation and
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, modeling to scaled-up manufacturing. The 2-year postdoc project Electrochemical properties of solid-state batteries and analysis of interactions between its different components will be shared between Depts
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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-performance antenna systems. The project includes analysis, design, and experimental validation of lens antennas based on physical optics, transformation optics, metasurfaces, and glide-symmetric structures
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; listening tests; VR-based or other human-subject experiments; or analysis of urban, indoor or vehicle sound environments. Very good ability to write scientific publications and communicate in English. English