Post-doctoral researcher in Knowledge Graphs (1.0 FTE)
Post-doctoral researcher in Knowledge Graphs (1.0 FTE)
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Job description
Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative institution of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 36,000 students and researchers alike to develop their own individual talents. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge.
Faculty of Arts
The Faculty of Arts is built on a long-standing tradition of four centuries. Our mission is to be a top-ranking faculty with both an excellent education and world-quality research, with a strong international orientation, firmly rooted in the North of the Netherlands. We build and share knowledge benefits to society. We work at a modern, broad and international institution, educating over 5000 Dutch and international students to become forward-looking, articulate and independent academics. We form a hardworking and diverse team of 700 staff members.
Applications are invited for a 1.5 year position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola.
Millions of stories are shared on online platforms such as Wattpad, AO3, and Fanfiction.net, combined with readers' reactions and comments on these stories. The GOLEM project will analyze stories and their responses gathered from sites in five different languages – English, Spanish, Italian, Korean and Indonesian. This analysis can provide a wealth of information about the characters in a story, the genre, what a story is about, how a story is constructed, what themes are covered, as well as what readers from different countries and cultures find important in a story.
The core infrastructure of the project will be a graph database of data from ca. 10 million stories, including information extracted from the full text of the stories via NLP techniques. Some information is already available in structured format, some other can be imported from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning, and other techniques.
The project will hire a postdoctoral researcher, who will work together with the PI, a database technician, and two PhD students.
Your tasks:
In collaboration with the other team members, you will work on the definition of an ontology and creation of a knowledge graph database compatible with Wikidata and other projects about the digitization of literary texts.
You will contribute to:
● define the ontology to be used throughout the project
● enrich a triple store (knowledge graph database) with information obtained via rule-based and graph reasoning techniques
● use graph-based representations for ontology learning
● use graph-based strategies for semantic relation identification
● use graph-based methods to populate ontologies using textual data.
Faculty of Arts
The Faculty of Arts is built on a long-standing tradition of four centuries. Our mission is to be a top-ranking faculty with both an excellent education and world-quality research, with a strong international orientation, firmly rooted in the North of the Netherlands. We build and share knowledge benefits to society. We work at a modern, broad and international institution, educating over 5000 Dutch and international students to become forward-looking, articulate and independent academics. We form a hardworking and diverse team of 700 staff members.
Applications are invited for a 1.5 year position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola.
Millions of stories are shared on online platforms such as Wattpad, AO3, and Fanfiction.net, combined with readers' reactions and comments on these stories. The GOLEM project will analyze stories and their responses gathered from sites in five different languages – English, Spanish, Italian, Korean and Indonesian. This analysis can provide a wealth of information about the characters in a story, the genre, what a story is about, how a story is constructed, what themes are covered, as well as what readers from different countries and cultures find important in a story.
The core infrastructure of the project will be a graph database of data from ca. 10 million stories, including information extracted from the full text of the stories via NLP techniques. Some information is already available in structured format, some other can be imported from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning, and other techniques.
The project will hire a postdoctoral researcher, who will work together with the PI, a database technician, and two PhD students.
Your tasks:
In collaboration with the other team members, you will work on the definition of an ontology and creation of a knowledge graph database compatible with Wikidata and other projects about the digitization of literary texts.
You will contribute to:
● define the ontology to be used throughout the project
● enrich a triple store (knowledge graph database) with information obtained via rule-based and graph reasoning techniques
● use graph-based representations for ontology learning
● use graph-based strategies for semantic relation identification
● use graph-based methods to populate ontologies using textual data.
Specifications
- max. 38 hours per week
- Groningen View on Google Maps
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University of Groningen
Requirements
- a PhD degree in any area related to the tasks (e.g. Computer Science or Information Science)
- experience in extracting structured information from unstructured documents
- commitment to Open Source and Open Science practices
- an independent, proactive work ethic
- good academic writing skills in English
- knowledge of Dutch is not required.
- experience in extracting structured information from unstructured documents
- commitment to Open Source and Open Science practices
- an independent, proactive work ethic
- good academic writing skills in English
- knowledge of Dutch is not required.
Conditions of employment
Fixed-term contract: 18 months.
We offer you in accordance with the Collective Labour Agreement for Dutch Universities:- a salary, depending on qualifications and work experience, between € 2,970 and € 3,974 (salary scale 10.7) gross per month
- a holiday allowance of 8% gross annual income
- an 8.3% end-of-the-year allowance
- a temporary 0.8 FTE appointment for a specified period of 1.5 year (additional tasks up to 0.2 FTE are possible)
- excellent work-life balance.
For more detailed information about working conditions and working for the University of Groningen, please check: https://www.rug.nl/about-us/work-with-us/
The conditions of employment comply with the Collective Labour Agreement for Dutch Universities (CAO NU). For more detailed information about working conditions and working for the University of Groningen, please check: https://www.rug.nl/about-ug/work-with-us/new-staff/
Starting date: 1 May 2023
