Why do large-scale patterns of clouds form, and what impact do they have on the mean atmospheric flow? How can we represent this in large-scale models?.
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in (pure) mathematics.
Hybrid dynamical systems have emerged as a novel framework with potential for improving the performance and capabilities of a wide variety of engineering systems.
"There is a lot of interest in explaining motor coordination and control. Such models allow for better understanding of the healthy coordination and provide diagnostic tools and starting points for rehabilitation solutions in case of motor disorders due to stroke or neural degeneration.
This research explores energy-related properties of hybrid systems, especially in hybrid automata. Here, energy refers to the abstract energy of the system which may not have a physical interpretation.
Project Description. We will develop novel theoretical frameworks [1] using machine learning approaches to address catalytic efficiency and to establish molecular design principles to key design problems for new bio-inspired nanocatalysts.
The planned expansion of the different national energy-related systems (generation, transportation, distribution, transformation) and the production of electricity from renewable sources entail significant challenges due to the unique characteristics of the sector worldwide.
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in astronomy, physics, planetary sciences, applied mathematics, or related fields.
Recent advances in hollow-core photonic crystal fibre technology now permit widely tuneable generation of femtosecond light pulses in the ultraviolet spectral region.
