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management. Data from case studies (inspections, monitoring, and experimental tests) are used for model updating, calibration of safety formats, and prediction of future performance and remaining service life
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acoustic monitoring through research in dynamic noise mapping. You will develop real-time methods for road traffic noise assessment, including AI-based traffic classification and acoustic modeling of mixed
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such as spectrally controlled reflectivity and transmission, down conversion, light trapping and light extraction, nonlinear effects, and solar cells. The work involves electromagnetic modeling
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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-19 Last application date: 2026-02-09 Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/postdoc… Requirements Research FieldBiological sciencesYears
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of two former supervisors A complete publication list (can be included in your CV) A copy of your diploma (PhD or equivalent) We warmly welcome your application! Where to apply Website https://lu.varbi.com
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include: A cover letter (maximum 1 page) Curriculum vitae (CV) Names and contact details of two references Copy of PhD degree certificate Union representatives: https://internt.slu.se/min-anstallning/facket