Human-Centered Data Analytics
The Interactive Information Access (INS2) research group investigates how access to information can be improved with humans ‘in the loop’, in the context of the rich heterogeneous information collections that arise as dataspaces; a relatively new concept introduced in the database field that simply refers to all data in scope of an entity (an organisation, a person, but also a smart home).
12/10/2020
Job openings! We are looking for two PhD Researchers on 'Culturally Aware AI,' one at CWI and one at KNAW Humanities Cluster.
Two PhD Researchers (fulltime) (one at KNAW Humanities Cluster and one at Centrum Wiskunde & Informatica) For the national research project “AI:CULT - Culturally Aware AI” funded by the Netherlands Organization for Scientific Research (NWO), we are looking for two PhD Researchers (fulltime) (one at KNAW Humanities Cluster and one at Centrum Wiskunde &...
Interview with Laura Hollink about her work!
A brief talk with Laura Hollink | Semantics 2017 Laura Hollink is data science chair at SEMANTiCS2017 and a researcher at CWI, the Netherlands' national research institute for mathematics and computer science. In the Information Access research group at CWI, they develop methods and techniques to support users in accessing information that is hete...
Pre-announcement:
Postdoc on “Evolving knowledge graphs from scientific texts”
In collaboration with Elsevier and Amsterdam Data Science we are looking for a talented post-doctoral researcher with a strong background in NLP and text-mining; expertise in areas related to HCI and/or knowledge engineering is also relevant.
Many high quality scientific databases are now being curated manually by human domain experts. In this project we aim to develop methods and techniques to evolve knowledge bases in specific domains (semi) automatically, while optimizing human curation efforts needed to guarantee the quality of each update. In addition, we aim to explicitly model and link entities that play a role in different domains. You will develop robust text-mining and other techniques that can handle potentially contradictory information and run these on large corpora of scientific publications to populate knowledge graphs with weighted relationships. You will design and apply metrics to effectively measure the quality of your results, and show the relevancy of your work in the context of a concrete business case.
Formal job opening will follow soon - stay tuned
A great chance to spend a year with CWI in Amsterdam. You would stand in the footsteps of Alejandro Bellogin and Alan Said, among others.
ERCIM Fellowship programme ERCIM Alain Bensoussan Fellowship programme
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