-
experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
-
background equips you to work with both materials and processes, and you are comfortable operating at the interface between experimental work and computational modelling. You have experience with Machine
-
, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in all of these areas. Qualification requirements PhD stipends are allocated
-
be used to model the USV, propulsion system, environmental disturbances, sensor behavior and relevant offshore mission scenarios. Experimental and field validation: Conducting experimental validation
-
experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability
-
system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
-
works with modeling, simulation, control, optimization, and experimental validation of fluid and energy systems, with applications including Power-to-X, carbon capture and utilization, green fuels, and
-
, bonding technologies, and multi-layer stack-up integration for glass-based PCB structures. Multi-physics simulation and experimental characterization will be used to analyze thermo-mechanical behaviour
-
can reinforce or counteract each other. You will work in an experimental setting using AI, immersive virtual reality scenarios and quantitative analyses to study decision-making and implicit bias across
-
time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data