35 phd-in-mathematical-modelling-population Postdoctoral positions at Chalmers University of Technology
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To fully benefit from automated vehicles (AVs), they must be both safe and appreciated by drivers. This post-doc is to use modeling (e.g., AI/machine learning) and behavior data to predict perceived
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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ongoing research projects Supporting the supervision of PhD students and postdocs Contributing to project management and proposal writing Research environment You will be part of the Communication Systems
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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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will consist in the porting and optimization of parallel and heterogeneous programming models for the upcoming multiprocessor systems developed in the DARE project . The focus of DARE are long vector
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covers a wide range of privacy both from a theoretical and practical perspective. The Crypto Team currently has two faculty members and four PhD students with a focus on foundations of cryptography as
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merging time-domain Finite Element Analyses for the structure and subgrade with a vehicle model. The focus will be on incorporating accumulation models for ballast and subgrade that incorporate (cyclic
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collaboration with KTH, the Royal Institute of Technology in Stockholm, where experiments and model-scale sea trials will take place. The team has well-established partnerships in wind-assisted propulsion and
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driving range. The project aims to analyze algorithms for predicting the remaining driving range of EVs and suggest ways to improve the current state of the art. The idea is to develop a model-based