22 material-simulation-research PhD positions at Technical University of Denmark in Denmark
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materials, which are otherwise inaccessible to material scientists? At DTU Energy, our research is targeting exactly this, and to reach these goals, we are looking for a PhD candidate to work at the interface
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
), serious gaming, agent-based simulation, knowledge of relevant research methodologies and practical experience with adequate state-of-the-art tools Very strong skills in coding (e.g., Python, C#, C++) and
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Job Description The Quantum Light Sources Group at DTU Electro is seeking candidates for PhD Scholarships in the field of design, simulation, fabrication and characterization of highly efficient
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. Copy of Bachelor’s and Master’s certificates. Copy of Bachelor’s and Master’s transcripts. Any additional material useful for the assessment of the candidate (e.g., recommendation letters, research
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an extrusion machine that produces large-scale earth blocks Building a 3D printer that utilizes earth materials for construction purposes Developing numerical process models that simulate 3D earth printing
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Rodrigues, Prof. Kira Vrist Rønn (SDU), and Associate Prof. Line Harder Clemmensen (KU). You will work on research focused on developing AI-enhanced Agent-based Simulation tools to support Intelligence
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years). Evidence of English proficiency. Copy of Bachelor’s and Master’s certificates. Copy of Bachelor’s and Master’s transcripts. Any additional material useful for the assessment of the candidate (e.g
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Job Description DTU Electro seeks a highly motivated PhD candidate to join the Perception and Cognition for Autonomous Systems Group (PCAS) in an alliance/strategic partner research project funded
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, materials technology, manufacturing engineering, engineering design and thermal energy systems. Technology for people DTU develops technology for people. With our international elite research and study
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renewable energy sources into the power grid. Key research questions may include: How can machine learning be leveraged to improve the accuracy and speed of dynamic simulations in renewable power systems