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With effect from November 15th there is a vacancy for a PhD student CEDAR – Linked data 38 hours a week (1.0 fte) (for 48 months in total).
Specifications - (explanation)
|Function types||Professors, associate professors, assistant professors and lecturers|
|Hours||38.0 hours per week|
|Salary||€ 2042 - € 2612|
|About employer||Royal Netherlands Academy for Arts and Sciences (KNAW)|
The PhD project, titled “Linked Open Data curation model in social science history – the case of Dutch census data” will be supervised by Professor Frank van Harmelen (VU Amsterdam). You will work in a project team consisting of another PhD student (PhD project “Theory and Practice of data harmonization in social history” (under the supervison of Professor Kees Mandemakers (Erasmus School of History, Culture and Communication, Erasmus University Rotterdam; IISH) and a postdoc experienced in complex network analysis and visualization. The project will be coordinated by Dr Andrea Scharnhorst (DANS, e-humanities group). It is part of the Computational Humanities Programme of the KNAW, which will be hosted at the e-humanities group (ehumanities.nl) and in which further projects (with PhD students, postdoc’s and senior staff) in the area of computational and digital humanities will be carried out.
You will conduct research about:
- Review of existing data models of census data, adaptation and modification, construction of the RDF model, links to other semantic web sources
- Query design (specific to different user communities)
- Development of RDF models of census data (historical variables)
- Mapping of different ontologies across domains and along time,
- Development of best practices to enable take-up of linking and re-use of data in other scientific disciplines and take-up in other KNAW institutes.
- Visual navigation through RDF modelled information spaces
You preferably should have the following qualifications:
- Master in computer sciences, artificial intelligence, information science or related areas.
- Interest in and knowledge of semantic technologies and their deployment on the Web.
- Fluency in spoken English and excellent written and verbal communication skills.
- Knowledge of Dutch would be an advantage.
- Willingness and proven ability to work in a team and to liaise with colleagues in an international and interdisciplinary research environment.
Conditions of employment
The position involves a temporary appointment with DANS for 4 years with a 2-month period of probation. Applicants should have the right to work in the Netherlands for the duration of the contract. The gross salary will be € 2.042,- per month in the first year, rising to € 2.612,- per month in the fourth year for a full time appointment (scale P, for a PhD position, CAO-Dutch Universities). DANS offers an extensive package of fringe benefits, such as 8,3% year-end bonus, 8% holiday pay, a good pension scheme, 6 weeks holiday on an annual basis and the possibility to buy or sell vacation hours. Place of employment will be DANS – Data Archiving and Networked Services. The main working location will be at the e-Humanities Group of the KNAW (location Meertens institute, Joan Muyskenweg, Amsterdam).
Contract type: Temporary, The position involves a temporary appointment with DANS for 4 years with a 2-month period of probation.
DANS is the national organisation for digital storage and dissemination of research data in the Humanities and Social Sciences and. DANS is involved in various national and international projects aimed at improving the availability of research data.
DANS in collaboration with the IISH, and the VU Amsterdam is working on a project of the Computational Humanities programme of the KNAW “Census data open linked – From fragment to fabric – Dutch census data in a web of global cultural and historic information (CEDAR)”
This project builds a semantic data-web of historical information taking Dutch census data as a starting point. With such a web we will answer questions such as:
- What kind of patterns can we identify and interpret in expressions of regional identity?
- How to relate patterns of changes in skills and labor to technological progress and patterns of geographical migration?
- How to trace changes of local and national policies in the structure of communities and individual lives?
This project applies also a specific web-based data-model – exploiting the Resource Description Framework (RDF) technology– to make census data inter-linkable with other hubs of historical socio-economic and demographic data and beyond. The project will result in generic methods and tools to weave historical and socio-economic datasets into an interlinked semantic data-web. Further synergy will be created by linking CEDAR to Data2Semantics, a COMMIT project.