Vacancies: PhD positions - Semantic Technologies

(15-10-2018)

TL;DR: mail Anastasia.Dimou@UGent.be with motivation letter, CV, 2 reference letters or reference contacts and courses/English proficiency scores to apply for up to 2 full-time PhD positions on Linked Data and Semantic Web technologies by 20 December 2018.

We look for up to 2 PhD candidates in the fields of Semantic Web technologies. The offered positions will be in the research team “Knowledge on Web Scale (KNOWS)”, lead by Ruben Verborgh, of IDLab at Ghent University and imec in Ghent, Belgium. At least one PhD position is available immediately.

You will join an enthusiastic, creative and pleasant team of researchers at an internationally renowned research group with an outstanding working environment. The work will be based on challenging and stimulating European and national projects, such as EcoDaLo, DyVerSIFy or Hobbit. The projects will allow you to obtain a PhD and collaborate with researchers, developers and companies from Belgium, Europe, and all over the world.

You will deal with different aspects of our research domain, building your own research, but you will also collaborate with other members of our team to realize our team-wide goals. In particular, you will make sure that you investigate, develop and validate a scalable approach that allows processing, analyzing and integrating dynamic distributed heterogeneous (streaming) data in the form of Extract-Transform-Load (ETL) or Query-Answering (QA) to build intelligent Web-based decentralized applications.

Qualifications

  • master’s degree (or an equivalent university degree) in computer science or another relevant discipline, e.g. mathematics, information sciences, computer engineering, etc.
  • analytical, programming and communication skills, team spirit
  • fluency in spoken and written English

 

The candidates may have experience in one or more of the following:

  • Knowledge Discovery, Mining, Modeling, Representation, Management
  • Semantic Web technologies and Linked Data
  • Machine Learning and Artificial Intelligence
  • Big Data, Streaming Data, Data Analytics
  • SQL, NoSQL, JSON, XML, XPath, RDF, SPARQL
  • Scala, Java, JavaScript, TypeScript, Python
  • Apache Flink, Kafka, Spark, Storm

To apply or for questions, contact (anastasia.dimou@ugent.be). After the first screening, suitable candidates will be invited for an interview (also possible via Skype).
Qualified candidates who are about to complete their masters are also encouraged to apply.

More on imec-IDLab-UGent

Imec is the world-leading research and innovation hub in nanoelectronics and digital technologies.  The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique.  By leveraging our world-class research infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.  As a trusted partner for companies, start-ups and universities we bring together close to 3500 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and has distributed R&D groups at several Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan.  To strengthen this position as a leading player in our field, we are looking for those passionate talents that make the difference!

IDLab is a core research group of imec with research activities embedded in Ghent University.  IDLab performs fundamental and applied research on data science and Internet technology, and is, with over 300 researchers, one of the larger research groups at imec.  Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data infrastructures; wireless and fixed networking; electromagnetics, RF and high-speed circuits and systems.  The Knowledge on Web Scale team focuses on the “Web” part of the Semantic Web, by building tools and projects to publish, query, and process data at Web scale.


 

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