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JOBS: Two Research Positions at the Knowledge Media Institute

From: Enrico.Motta <enrico.motta@open.ac.uk>
Date: Wed, 6 Sep 2017 17:54:41 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>, "CHI-JOBS@ACM.ORG" <CHI-JOBS@ACM.ORG>, "AI-SGES@JISCMAIL.AC.UK" <AI-SGES@JISCMAIL.AC.UK>, "ml-news@googlegroups.com" <ml-news@googlegroups.com>
Message-ID: <885B1AA4-6DF5-4E99-AD10-FB903B53EB65@open.ac.uk>
Two Research Associate/Assistant (RA) positions (Ref: 13942)
Knowledge Media Institute (KMi)
The Open University, UK
Deadline for Applications: Tuesday 3 October 2017.
The Open University’s Knowledge Media Institute (KMi) in the UK has openings for two Research Associate/Assistant (RA) positions (fixed contracts until 30th June 2019) to join a successful team at the leading edge of research and development in several areas, including Data Science, Semantic Technologies, Visual Analytics, and Urban Computing. The team, which is led by Prof Enrico Motta, has recently been awarded a number of new grants to progress research in these areas, consolidate the infrastructure developed in the MK:Smart project (www.mksmart.org<http://www.mksmart.org>), and also engage with and train SMEs in the SEMLEP area to support data-intensive innovation.

The two RAs will tackle different aspects of our research agenda, working towards their own individual research and development objectives, while at the same time collaborating with the other members of team to ensure the realization of the wider team-level goals. In particular:

RA1 will work on issues at the intersection of Human-Computer Interaction and Big Data, developing new visual analytics solutions and data exploration support for the MK Data Hub (https://datahub.mksmart.org), a state of the art computational infrastructure for acquiring and managing large scale data sources. The MK Data Hub provides a unique environment, characterized by thousands of (static) datasets and (dynamic) data streams and therefore poses interesting new challenges with respect to enabling both non-expert users and application developers to quickly explore and make sense of the data available on this platform. Such sensemaking support will also include solutions to support public access to the data.

RA2 will focus on progressing our research agenda on Urban Computing, working with our partners in the MK Innovation Cluster to develop new solutions tackling urban challenges and sustainability issues in Milton Keynes and the wider region. Urban Computing is a highly interdisciplinary field, leveraging technologies such as Machine Learning and Internet of Things, as well as a variety of other fields, such as urban planning, environmental science, intelligent mobility and others. Hence, we welcome applications from a broad range of candidates with expertise in any of these fields.

More details about the vacancies can be found at http://kmi.open.ac.uk/jobs/further-particulars/Ref13942_Job-Related-Info.pdf.

Information about how to apply can be found at http://kmi.open.ac.uk/jobs/#13942.

If you would like to discuss the particulars of this role before making an application please contact Professor Enrico Motta <enrico.motta@open.ac.uk<mailto:enrico.motta@open.ac.uk>>

Received on Wednesday, 6 September 2017 17:55:07 UTC

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