EngD position on Implementation and Testing of Virtual Knowledge Graph Infrastructure

University of Twente
February 12, 2025
Contact:N/A
Offerd Salary:€ 2.872
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A

The University of Twente and the Netherlands' Cadastre, Land Registry and Mapping Agency (Kadaster) set up a collaboration project to advance the existing data infrastructures so they can support the extended application of analytical algorithms over authoritative data. The project team is seeking an Engineering Doctorate (ENGD) candidate with a genuine interest in inter- and cross-organisational data integration. Your work will result in designing and implementing (virtual) knowledge graph (VKG) infrastructures that allow efficient data querying without data replication. A challenge is enabling performant (spatial) querying (spatial access) across such data sources.

The project team will help you gain the required methodological and technical knowledge to conduct the project, which includes design science, knowledge graphs, semantic technologies, ontologies, and natural language processing.

The Netherlands' Cadastre, Land Registry and Mapping Agency – in short, Kadaster and the University of Twente (UT) have joined forces to operate at the forefront of knowledge about federated data; the goal is to advance the research field and develop methods and techniques to extract, combine, and analyse information from distributed data sources, while accounting for the principles of ethical conduct, scientific integrity, and open science, to benefit the society.

To realise that goal, Kadaster and UT work together on the UTKa Datalab project under the umbrella of the Centre for Security and Digitalisation (CVD), a collaborative knowledge centre based in Apeldoorn, uniting educational institutions, businesses, and public organisations to address challenges in security and digital transformation. The project aims to work on trusted federative data infrastructures based on knowledge graph (KG) technology and simultaneously explore the potential of mutual augmentation of AI (particularly LLMs) and KG for Land Administration applications. The project will be conducted by a scientific team from Kadaster and UT, where five young researchers will join the team as EngD and PhD candidates, including the candidates employed through this call.

From the UT side, two departments of Geo-Information Processing (GIP) from Faculty ITC and Semantics, Cybersecurity & Services (SCS) from Faculty EEMCS will supervise the PhD and EngD candidates. The supervisory team will also include colleagues from the Kadaster Data Science team.

About Kadaster

Kadaster collects and registers administrative and spatial data on property, rights, and assets such as ships, aircraft, and telecom networks, ensuring legal certainty. As the responsible body for national mapping, maintaining the national reference coordinate system, and advising on land use and spatial data infrastructures, Kadaster provides information primarily through online services to civil-law notaries, local authorities, businesses, financial institutions, and individuals. As the custodian of the Key Registers Cadastre and Topography, Kadaster performs its public tasks transparently and in service of society. For further information about Kadaster check: https: // www. kadaster.nl/ & https: // labs.kadaster.nl/about/

About GIP

The GIP department at the UT's Faculty of Geo-Information Science and Earth Observation (ITC) focuses on creating actionable geo-information for diverse stakeholders. GIP addresses critical societal challenges by designing methods to process heterogeneous spatio-temporal data and developing open geo- information solutions. Their interdisciplinary approach combines Geographic Information Science, Remote Sensing, Computer Science, and Digital Humanities, emphasising co-creation with domain experts to ensure societal relevance and scientific validity.

Your profile

A MSc in a related field (e.g., Software Development, Computer Science, Geo-Information Science)

Strong background in Semantic Web Technologies (e.g., RDF, OWL, SPARQL, GeoSPARQL)

Knowledge of Geospatial Information Processing, e.g., working with vector data and spatial database management systems, is a plus

Knowledge of Ontology-Based Data Access is a plus

Programming skills (e.g., Python, Java, C#)

Analytical and problem-solving skills, with the ability to work collaboratively in a multidisciplinary team

Strong communication skills, with proficiency in English

Our offer

We offer you a contract for 24 months.

Competitive salary in accordance with the Dutch Universities' Collective Labor Agreement (CAO-NU): gross monthly salary of € 2.872, -;

Employee status at the UT, including pension and health care benefits. UT is an equal opportunities employer.

8% holiday allowance and 8.3% year-end bonus.

Solid pension scheme.

A minimum of 41 holiday days for full-time employment.

Professional and personal development programs through Twente Graduate School.

Hybrid working opportunities across CVD (1 day per week), Kadaster (1 day per week), and the University of Twente (2 days per week)

For more information about the EngD program at UT, check the UT EngD information page.

Information and application

Interested? Please submit your application before February 12, 2025. Your application should include:

Motivation letter (max. 2 pages) on why you would like to investigate this topic and what you bring to the team (including a summary of your qualifications).

CV (max. 3 pages), including all prior work and education, nationality and current place of residence or residence permits (if applicable), and any published work such as software repositories or articles. The CV must also provide the contact information of two references.

Digital copy of the (MSc) thesis submitted for your degree.

Copies of academic transcripts.

TOEFL/IELTS scores (if applicable, see details below).

English Proficiency: applicants whose primary language is not English must submit recent TOEFL/IELTS scores. Exemptions apply to graduates from accredited English-language programs.

For more information about the position, contact Dr. Luiz Olavo Bonino (email: [email protected]).

For questions about working and living in the Netherlands, please consult the official website of the Netherlands Government or the Expat Centre East Netherlands website.

About the department

The SCS department at UT's Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) advances semantic modeling, cybersecurity, and service design to enable meaningful computing within trusted digital environments. Their research focuses on ontology-driven conceptual modeling, FAIR data stewardship, and model-driven system/service engineering, dealing with data-driven services that understand the context and respond to changing situations. The SCS group develops ontologies and service composition frameworks to achieve semantic interoperability and meaningful enterprise services. To safeguard these services, they create automated methodologies for system analysis, threat detection, and mitigation alongside privacy-enhancing technologies and data protection techniques. Collaborating with industry, academia, and government, the SCS group applies its research across sectors like healthcare, agriculture, logistics, emergency management, smart cities, and manufacturing, addressing complex societal challenges through an interdisciplinary approach.

About the organisation

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

Want to know more? Bonino da Silva Santos, L.O. (Luiz)

Associate Professor

Bonino da Silva Santos, L.O. (Luiz)

Associate Professor

Do you have questions about this vacancy? Then you can contact Luiz for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

Contact

Phone:+31534896403

Email:[email protected]

How to apply Step 1

Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Step 2

Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview. In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer. If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.

Your Colleagues
  • Bonino da Silva Santos, L.O. (Luiz)
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  • Guizzardi, G. (Giancarlo)
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  • Scholten - Koop, B.F.J. (Bertine)
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