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with researchers at Chalmers and the University of Gothenburg. You will explore how Bayesian methods can enable risk-aware, real-time trajectory planning and contribute to the development of autonomous
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University of Gothenburg. You will explore how Bayesian methods can enable risk-aware, real-time trajectory planning and contribute to the development of autonomous vehicles that are both safe and trustworthy
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the Job related to staff position within a Research Infrastructure? No Offer Description Job description The work involves simulations of the dynamic vehicle-track interaction for various types of rail
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duties Employment as an assistant professor is a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve research and
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This position focuses on investigating vehicle-track-ground interaction dynamics with a particular emphasis on the critical speed induced by high-speed trains. The candidate will contribute
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a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve research and teaching. The position includes
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version control and containerization (Docker/Singularity) Statistical Modeling: Quantitative data analysis using GLMs, Bayesian methods, or mixed-effect models to interpret complex perturbation datasets
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Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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KTH Royal Institute of Technology, School of Engineering Sciences Subject field Material and structural mechanics Subject description The subject of this tenure-track position is advanced