30 agent-based-modelling PhD positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Agentic AI is an emerging technology that fundamentally changes product development and evolution. We seek to study the implications of Agentic AI with the intent of accelerating the adoption
-
importance, for triggering shallow landslides in sensitive clays. The focus will be on developing computational models that will quantify the mechanisms, precursors and the time to failure. This will be
-
interfaces. About us The Condensed Matter and Materials Theory division models and studies diverse materials and condensed matter systems, often inspiring new materials, technologies, or structured media with
-
The aim is to unravel the anthropogenic and natural processes, and their relative importance, for triggering shallow landslides in sensitive clays. The focus will be on developing computational models
-
research and modelling approaches, and in close collaboration with relevant stakeholders.Achieving our vision is based on creative collaborations within the framework of a good and equal working environment
-
Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
-
to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based
-
environments with minimal environmental impact. We are recognized nationally and internationally for our excellence in numerical and computational modelling, experimental innovations, our collaborations with
-
. The division's work requires interdisciplinary efforts, which is reflected in our team's composition spanning engineering, natural, and social sciences. We are united by applying systems-based approaches and
-
and development. Project overview The ongoing transition from synchronous machine-based generation to converter-dominated renewable energy sources presents new challenges for the operation, control, and