Trinity College Dublin

Applications are invited for a funded Ph.D. studentship at Trinity College Dublin’s Distributed Systems Group to investigate the use of multi-agent learning techniques for participatory sensing applications for urban management. The project will investigate new self-organising multi-agent algorithms to implement highly-adaptive management activities, while addressing adaptation to newly-discovered, uncertain, and intermittently available sensor data, and dynamic sensor-stream selection.

The Distributed Systems Group and Lero - The Irish Software Engineering Research Centre in the School of Computer Science and Statistics at Trinity College Dublin (TCD) in collaboration with the newly established IBM Dublin Research Lab is seeking postdoctoral fellows and PhD candidates to work in the area of Extreme Scale Data Driven Simulations.

Applications are invited three funded Ph.D. studentships in the Distributed Systems Group of the School of Computer Science and Statistics at Trinity College Dublin (TCD) to investigate communications network architecture and protocol design as part of the Telecommunications Graduate Initiative. The studentships will investigate:

• Information-Centric Networking (ICN)/Content-Centric Networking (CCN) (supervised by Dr. Stefan Weber)
• Opportunistic, Protocol-Agnostic Communication in Emergent Networks (supervised by Dr. Stefan Weber)

PhD Studentship on Visualizing Multicore Performance

Improved performance is one of the main motivations behind the move towards the use of many-core processors, but how do software engineers actually do performance optimization? Can we provide better visual tools to allow programmers to better understand and improve their many-core programs? This PhD studentship in Visualization and Human-computer Interaction will examine these questions.

Applications are invited for two funded Ph.D. studentships within Lero at Trinity College Dublin’s Distributed Systems Group to investigate the use of multi-agent learning techniques for the self management of community-based power grids. The project will investigate how agents can learn to optimise the scheduling of power generation and distribution. One studentship will focus on the design of highly-adaptive multi-agent learning techniques for the management of such systems and the other on techniques to allow verification of the properties of these systems.