PhD Fellowships in Real-Time Open Data Services for Smart Environments
=About Insight Centre for Data Analytics=
The Insight Centre for Data Analytics is one of Europe’s largest data analytics research organisations, with 400+ researchers, more than 40 industry partners and over €88 million of funding. Insight undertakes world leading high impact research in data analytics that has significant benefits for the individual, industry and society by enabling better decision-making. The centre is made up of four main centres: Insight@DCU, Insight@NUI Galway, Insight@UCC and Insight@UCD.
The group you will join at Insight @ NUI Galway offers a stimulating, dynamic and multi-cultural research team with members (including 5 PhD students) from all over the world, excellent ties to research-groups worldwide and close collaboration with industrial partners.
Smart environments have started to move from a research vision to concrete manifestations in real-world deployments. As smart environments are realised, they are encountering a number of very practical challenges in data management in terms of the flexibility needed to bring together contextual and real-time data.
A key challenge in a Smart Environment is to support users to discover and compose relevant data produced by the environment. The PhD candidate is expected to develop novel models for the indexing, discoverability and composition of real-time open data services. The candidate is expected to ground the work in current state-of-the-art in the middleware, event processing, open data, service compositions and Internet of Things research and come up with scientifically valid evaluation datasets and frameworks.
The PhD fellowship offers for the successful candidate an annual stipend of EUR18,000 tax-free plus course fees and conference travel when presenting. The position is open for both EU and Non-EU candidiates.
The PhD candidate should have:
* Bachelor's degree or Master's Degree in Computer Science or equivalent.
* Excellent technical skills.
* Excellent communication and writing skills in English .
* Good knowledge of one or more of the following topics is a bonus: stream processing, distributed systems, middleware systems, Internet of Things, and relevant topics.
Applicants must be highly motivated with the ability for independent and critical thought. Successful applicants are expected to combine formal scientific work with research and development in collaborative projects funded by National and European funding agencies.
The student will be supervised by Dr. Edward Curry and Dr. Adeboyega Ojo.
Please submit your application by October 15th 2017 application (including full CV and contact details for three referees) to firstname.lastname@example.org with the subject line "PhD Fellowship in Real-Time Open Data Services".