Universality in random growth processes
Universality in random growth processes
About the Project The Kardar-Parisi-Zhang (KPZ) universality class is a collection of models that includes the random growth of a surface over time or the behaviour of a large number … Read More Read More
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Digital Twin Extrapolation in Space Object Re-Entry Monitoring
Digital Twin Extrapolation in Space Object Re-Entry Monitoring
About the Project Project Summary Develop advanced digital twin technology for space object re-entry monitoring, addressing multiphysics coupling and hybrid uncertainties. This PhD focuses on uncertainty quantification, robust model updating, … Read More Read More
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Long time behaviour of generative models
Long time behaviour of generative models
About the Project The proliferation of generative models, combined with pretraining on web-scale data, raises a crucial question: what happens when these models are trained on their own generated outputs? … Read More Read More
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PhD in Mechanical Engineering - Federated Digital Twins for Reducing Risk and Uncertainty in Hydrogen Integration.
PhD in Mechanical Engineering - Federated Digital Twins for Reducing Risk and Uncertainty in Hydrogen Integration.
About the Project The energy transition is a highly stochastic and complex problem, especially given the increasing demand to rapidly decarbonize through whole systems thinking – coupling previously independent critical … Read More Read More
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PhD positions in applied probability and network optimization
PhD positions in applied probability and network optimization
Do you have a passion for applied mathematics and network science, and are you eager to make a real impact on climate-resilient energy systems? Please apply for a PhD position … Read More Read More
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