Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
detailed knowledge of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software
-
of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software to new developments
-
PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
impacts. The candidate will develop and validate computational models capable of predicting penetration, damage evolution, and energy absorption, while exploring novel lightweight material configurations
-
support maintenance decisions. For example, an AI agent could combine sensor measurements and historical maintenance information, invoke diagnostic or predictive models, identify evidence of component
-
to support increasingly complex cybersecurity exercises. RO3: Investigate simulation and predictive modelling approaches for analysing cascading cyber threats and evaluating the resilience of interconnected
-
reinforcement learning, learning-based adaptation and control, physics-informed machine learning, learning-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled
-
. This includes extending or adapting existing scenario modelling approaches to support increasingly complex cybersecurity exercises. RO3: Investigate simulation and predictive modelling approaches
-
-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled systems, and the integration of foundation models with autonomous robotic decision-making and control
-
the development of highly predictive and human-relevant biomedical models that overcome major limitations of conventional animal models. The recruited candidate will focus on the development of an advanced human
-
. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model