Open Positions in Semantic Interoperability and Cloud Services. PhD, Research Master, Research Assistants (6 Months) Internships (4-6 Months)

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1 Insight Centre for Data Analytics NUI Galway Open Positions in Semantic Interoperability and Cloud Services PhD, Research Master, Research Assistants (6 Months) Internships (4-6 Months) Talents are required for covering the multiple research activities and aspects in the areas of Semantic Interoperability, Data Management and Processing, Internet of Things, Distributed Services and Systems and Cloud Computing Services & Management within the USM Group within the broad portfolio of European and Irish National projects. The advent of Sensor Technologies (Internet of Things), the Semantic Web and Cloud Computing Systems provide the unique opportunity to unify the real and the virtual worlds. It enables the building of very large infrastructures that for the first time facilitate the information-driven real-time integration of the physical world and computers on a global scale. Flexible middleware technology that abstracts from heterogeneous sensor network technologies to higher-level functionalities to enable interconnected sensor networks and processing of sensor data (Sensor Internet) is a cornerstone of enabling Semantic Reality. The sheer size of this system poses quite novel and unique challenges, as it can only be engineered and deployed if a large degree of self-organisation and automation capabilities are being built into the system and its constituents, enabling simple deployment (plug-and-play), dynamic (re-) configuration, flexible component and information integration, and tailored information delivery based on user context and needs in a serviceoriented way. This requires semantic descriptions of the user needs and contexts, and of the system's constituents, the data streams they produce, their functionalities and their requirements to enable a machineunderstandable information space of real-world entities and their dynamic communication processes on a scale that is beyond the current size of the Internet. We have currently open positions described below.

2 PhD Position _ PhD - Scholarship stipend 18,000 per annum, no tax is applicable Areas: Cloud Services Management, Interdisciplinary professionals are required to be successful in the joint space where Semantic Web, Big Data and Cloud Computing converge, a paradigm shift is required from current batch-like approaches towards Cloud Service Management / Federation. Despite the work carried over in Complex Event Processing, some more investigation is needed to provide near real-time Decision Making based on Event Data Analysis and Processing and results of stream processing and Event Detections for decision support. The candidate will be encouraged and guided to explore and design new scalable stream processing methods that can use or exhibit real time events management and continuous query capabilities for detecting relevant (unexpected) events for streaming data, and suggesting appropriate adaptations of the decision support process. User-centric factors such as handling user requirements, preferences, social media profile and previous application usage patterns are also in scope for finding innovative solutions for Self-Organizing Architectures for Cloud by means of Infrastructure Performance and Event Data The duration of the contract will be 3 years as a fully funded PhD. Essential - Third level degree in computer science or related discipline - Pro-efficient of object-oriented design principles - Experienced in Java programming - Strong background with Unix/Linux systems - Experience on Distributed systems and Virtualization (Cloud) - Knowledge on Semantic Technologies See below for other requirements

3 Research Master, Internships (4-6 Months) Thesis Background: In the IoT domain there is an increasing demand for IoT Data dynamic services composition by means of information interoperability and automated data management. An innovative approach for this challenge is OpenIoT project ( where by using Linked Data and cloud-based query processing, autonomic data management and information interoperability is enabled, OpenIoT offers on-the-fly service composition by following utilitybased methods. 1. Deployment and configuration of (OpenIoT) Multi-Query Data Test Services in Federated Cloud Environments. As an approach enabling dynamic IoT services configuration, OpenIoT must be tested on different cloud environments, in order to test scalability and robustness to satisfy Data Services demand, these service deployment and configuration can be seen as a trivial method but in practice is not mainly due the technological implications and the nature of heterogeneous cloud infrastructure. Federated environments arise as an approach for the diversity of cloud environments. This master thesis objective implies experimental test, deployment set up and configuration, of OpenIoT components into federated cloud environments. 2. Evaluation of the capacity for solving multiple queries for the IoT Cloud Data Services by using Continue Query Language Algorithms. OpenIoT is by design a multi-platform and distributed framework, that funds its core operation on transforming IoT collected data into information by means of semantic annotations (linkeddata) and structured data repositories (RDF triple stores), the core methodology of OpenIoT to resolve a service request is by using query-answers paradigm on stored data sets. The functionality of executing queries on real time IoT Cloud data (IoT data streams) is considered as relevant and an innovative added value capacity for solving in shorter time and as consequence make the query-based information systems more efficient. This thesis objective requires the set up and configuration of OpenIoT components and the evaluation of one of various Continue Query Language Algorithm(s). Essential - Degree in computer science or related discipline (in progress if you apply for an internship position monthly economic support is provided) - Pro-efficient of object-oriented design principles - Pro-efficient in Java programming - Strong background with Unix/Linux systems - Experience on Distributed systems and Virtualization (Cloud) - Knowledge on Semantic Technologies See below for other requirements

4 Research Assistant (6-12 Months) Open Opportunity to acquire experience and demonstrate your potential in many of the hype and top disciplines that will increase your opportunities in the industry market, or if you are undecided to pursue a PhD for some reason, this position will put you very close with the research and applied innovation environments. If you have already experience we offer competitive salary based on skills and proven projects achievements Contract duration: 6 months minimum, starting in April 2014 (Adaptation period with possibility of extension based on outcomes) Salary scale: 23,000-30,000 Euro per annum depending on proven expertise and skills. This position is subject to Irish taxation. Essential - Degree in computer science, telecommunications (preferable) or related ICT discipline - Excellent Pro-efficient (proven) object-oriented design and Programming Skills - Excellent (proven) Java Programming, Ruby and other highly networking oriented Software programming language - SDN / ADN Software Defined Networking Application Defined Networking is an Asset - Very Strong background with Unix/Linux systems - Experience on Deploying and Configuring Distributed systems and Virtualization (Cloud) - Experience on setting up and maintaining virtual cluster and distributed environments - Knowledge on Semantic Technologies See below for other requirements

5 Other Requirements The Candidates - Ability to work in an international team environment, - Excellent on analyzing state of the art on general or specific themes, - Motivated and proactive attitude, - Willing to take leadership and initiative in all work assignments, - Excellent analysis and problem solving skills, - Strong design, development & testing skills, - Ability to produce relevant documentation, official reports, publications, technical and software documentation - Skills in diagnostics development, bug-fix and problem resolution - Pro-efficient on reporting and documentation. - Excellent communication skills, verbal and written (English) - Creative Thinking and quick problem resolution Bonus Skills - Knowledge of large-scale distributed information systems - Knowledge on databases and stream query processing systems - Semantic web technologies and linked Data - Familiarity with structured and semi-structured data formats e.g RDB, XML and RDF. - Experience of designing IDE and Visualisation tools - Experience on European Research Project participation. - At least 3 years development experience

6 Application Procedure Please read carefully before your application Informal enquiries about these positions can be directly made to: Dr. Martin.Serrano: When applying, (cc the same address above) and submit to: Human Resources Office: Indicating in the subject as follow: "PhD application USM-Services Cloud" in the subject line. "MSc application USM-Services Cloud" in the subject line. "Research Assistant application USM-Services Cloud" in the subject line. "Research Intern application USM-Services Cloud" in the subject line. Candidates are requested to submit: 1) Cover letter, research statement (max 1 page) Candidates may also indicate preference for one of the two areas (semantic interoperability, cloud services) in their cover letter (but not definitive, just as reference). 2) CV (in PDF format). Detailed experience in previous jobs, activities, list of projects where have participated, must be included in the CV. 3) Full list of Project(s), prototype(s) or valuable experience that the applicant consider could be as relevant for the post. 4) Reference(s) Letter (Optional). Interviews will be carried over as soon as suitable candidates are identified, and the position needs to be filled as soon as possible. We expect the successful candidate to start at the earliest possible date, ideally immediately March/April More information related with our team activity visit: Sensor Middleware Unit Insight January 2014