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Associate and Research Fellow on Polyglot and Hybrid Big-Data Architectures

Country : UK - United Kingdom

Website : https://jobs.york.ac.uk

Description

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
dimitris.kolovos-AT-york.ac.uk and Prof Richard Paige (Head of the
Enterprise Systems Group), email richard.paige-AT-york.ac.uk.
Apply online: https://jobs.york.ac.uk/wd/plsql/wd_portal.show_jo...
Closing date: 25 February 2018
Interview date: To be confirmed

Last modified: 2018-02-05 19:33:41