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Postdoctoral researcher SABIO DH-Lab - Humanities Cluster KNAW - Amsterdam

For the SociAl BIas Observatory (SABIO) project, the KNAW Humanities Cluster is looking for a motivated researcher working on the intersection of language …

ongeveer 2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Oudezijds Achterburgwal, Amsterdam, Noord-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
32 - 38 uur
Salarisindicatie:
€ 3746 - € 5127 per maand
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

For the SociAl BIas Observatory (SABIO) project, the KNAW Humanities Cluster is looking for a motivated researcher working on the intersection of language technology, semantic web and cultural heritage. The SABIO project is funded by the Dutch Digital Heritage Network and is aimed at investigating bias in the digital collections of the members of the network.

About this vacancy
In this project, we investigate how collection managers and curators create and add metadata to collection objects, and how bias in these metadata can be detected using statistical models. We aim to create a knowledge graph on top of existing collection databases that makes prejudices and imbalances in the data explicit such that they can be addressed, as well as taken into account by users of the data. 

The appointed candidate will be embedded in the Digital Humanities Lab at the KNAW Humanities Cluster, and will collaborate closely with the Nationaal Museum van Wereldculturen (organisation responsible for Tropenmuseum, Museum Volkenkunde, Afrikamuseum en Wereldmuseum Rotterdam) and the Information Access group at Centrum Wiskunde & Informatica. 

Background
Techniques from the field of artificial intelligence (AI) are increasingly applied in the analysis of cultural heritage collections. Recent advances in machine learning enable cultural heritage institutions and their users to enrich and reinterpret information about their objects. A major issue in artificial intelligence is understanding and dealing with bias; prejudices and imbalances in both data as well as the AI systems can hamper access to new, or less popular information or opinions. 

In the SABIO project, we investigate the degree of bias in the collections of the Dutch Digital Heritage Network on three social/societal themes: Migration, Trade and Traditions. 

The key responsibilities of the postdoctoral researcher in the SABIO project are to investigate and adapt AI techniques for the detection of bias in museum collections together with collection managers and curators. The appointed candidate will be responsible for disseminating the project results via publications, a prototype visualisation (in collaboration with a developer) and to museum professionals through a project workshop that s/he is to co-organise.

Functie-eisen

  • A PhD in computational linguistics or digital humanities with a focus on machine learning.
  • Outstanding research qualities and demonstrable research experience manifested in a high-quality PhD thesis and publications.
  • A keen interest in interdisciplinary research.
  • Excellent communication skills in English and preferably also Dutch.
  • Proven organisational and administrative skills.
  • Ability and willingness to work in a team.
  • Experience with cultural heritage data is a plus. 

Conditions

Appointment
The appointment at the KNAW Humanities Cluster concerns an employment contract of 0,8-1,0 FTE for a period of 10 months. The project is expected to start in the autumn of 2020. 

Terms of employment
The position will be at grade 11 (CAO Dutch University pay grades) depending on the level of relevant experience and will attract a salary ranging between € 3746,00 and € 5127,00 (minimum and maximum gross salary for full-time 38hr). The salary is supplemented with an 8% holiday allowance and an 8.3% end-of-year bonus. The Collective Labour Agreement for Dutch Universities is applicable.

The Royal Academy of Science offers an attractive pension scheme, 6 weeks of holiday per year, the possibility to buy or sell holiday leave, as well as career development opportunities. Flexible hours and working from home are negotiable. 

Additional information

Enquiries can be made to Marieke van Erp marieke.van.erp@dh.huc.knaw.nl.

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