UNIVERSITY OF YORK
Research Associate and Research Fellow
Department of Computer Science
Based at the University of York, Heslington Campus East
These posts are associated with a new European H2020 project titled “Polyglot and Hybrid Persistence Architectures for Big Data Analytics” (TYPHON), in collaboration with The Open Group, University of L’Aquila, Edge Hill University, CWI, Volkswagen, GMV, Institut fur angewandte Systemtechnik Bremen, University of Namur, Alpha Bank, Nea Odos and CLMS. The aim of TYPHON is to develop a methodology and an integrated technical offering for designing, developing, querying and evolving scalable architectures (polystores) for persistence, analytics and monitoring of large volumes of hybrid (relational, graph-based, document-based, natural language etc.) data.
The main objective of the TYPHON work-package led by York is to produce a scalable architecture through which hybrid polystores will be able to publish data access and update events, which can be consumed by analytics and monitoring components organised in distributed topologies. This will enable the implementation of high-performance real-time event-based monitoring and analytics facilities in an orthogonal manner to the core functionality of applications built on top of TYPHON polystores
As well as conducting individual and collaborative research projects, your responsibilities will be; designing and developing software for data persistence and monitoring; using appropriate research techniques and methods; writing up of research results and dissemination through publications, deliverables, seminar and conference presentations and public engagement and outreach activities, and contributing to the identification of possible new areas of research.
You will preferably have a PhD in a technological / engineering area relevant to software or data engineering. Significant experience in these areas may be considered in lieu of a PhD.
You will need to have strong presentation, writing and object-oriented design and development skills (preferably using Java/JVM-based languages) as well as experience with one or more of the following: high-performance relational/non-relational data persistence and querying technologies, parallel/distributed data management technologies (e.g. Hadoop, Spark, Kafka), and language engineering frameworks (e.g. EMF, Sirius, Xtext). Essential personal attributes for this role include attention to detail and commitment to high quality, a collaborative ethos, positive attitude to colleagues, commitment to personal development, and ability to plan and prioritise own work to meet deadlines.
At Research Fellow level you will be responsible for leading the design and development of the event-based analytics architecture, and for contributing to the supervision of a junior researcher. For this level, knowledge of a Java/JVM-based programming languages and knowledge of parallel/distributed data analysis technologies (e.g. Hadoop, Spark, Kafka) is essential.
Research Associate Grade 6 – £31,604 a year; fixed term until 31 December 2020. Full time; 37 hours a week.
Research Fellow Grade 7 - £38,832 a year; fixed term for 30 months. Full time; 37 hours a week.
Informal enquiries can be made to Prof Dimitris Kolovos, email firstname.lastname@example.org and Prof Richard Paige (Head of the Enterprise Systems Group), email email@example.com.
Closing date: 25 February 2018
Interview date: To be confirmed
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