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Trinity College Dublin

Vacancies

Research Fellowships in Autonomic Service-Oriented Computing for Smart Cities

Applications are invited for two Postdoctoral Research Fellowships at Trinity College Dublin’s Distributed Systems Group to investigate the provision of a new service-oriented computing infrastructure that provides demand-based composition of software services interacting with a city-wide, dynamic network infrastructure. The project will investigate autonomic adaptation of services and infrastructure, ensuring resilient service provision within an integrated, city-wide system.

Research Studentships in Dynamic Service Adaptation

Applications are invited for four funded Ph.D. studentship within Trinity College Dublin’s Distributed Systems Group, to investigate the development of a dynamically adaptable service-oriented middleware to be applied to service-based smart cities.

Postdoctoral Research Fellowship in Autonomic Management of Smart Grids

Applications are invited for a Postdoctoral Research Fellowship at Trinity College Dublin’s Distributed Systems Group to investigate the use of multi-agent learning techniques for the self-management of future smart grids. The project will investigate how learning techniques and intelligent agents can be used to optimise the scheduling of power generation and distribution as well as energy demand side management.

Postdoctoral Research Fellowship in Cooperative Vehicle Systems

Applications are invited for a Postdoctoral Research Fellowship within Lero at Trinity College Dublin’s Distributed Systems Group to investigate software engineering techniques for the development of cooperative vehicles. The project will investigate how cooperating smart vehicles can be engineered to ensure mutually safe behaviours even when communication between them is degraded.

Postdoctoral Research Fellowship in Dynamic Service Adaptation

Applications are invited for two Postdoctoral Research Fellowships within Trinity College Dublin’s Distributed Systems Group to investigate dynamic adaptive systems in the domain of smart cities.

The research will investigate how to use models as the first class runtime system representation, and run-time analysis, planning and adaptation approaches, to achieve the dynamic and automated adaptation of software services that are used to support the smart future cities. The projects emphasize:

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