The Human Resources Strategy for Researchers

2 fully funded PhD candidate positions in Knowledge Graphs at Scale

This job offer has expired

    Maastricht University (UM)
    First Stage Researcher (R1)
    10/01/2020 23:59 - Europe/Brussels
    Netherlands › Maastricht


The Institute of Data Science at Maastricht University is seeking applications for 2 fully funded PhD student positions to develop computational methods for scalable and reusable knowledge graphs. These positions are supported through a Marie-Sklodowska-Curie Innovative Training Network for the project KnowGraphs: Knowledge Graphs at Scale (project #860801), which will recruit 15 PhD positions in total.

Knowledge graphs (KGs) are a flexible knowledge representation paradigm intended for knowledge capture and utilisation by humans and machines. Hence, they are key enablers for a number of technologies including question answering, personal assistants and artificial intelligence, and are used by several large companies including Microsoft, Google, Facebook, Amazon, Samsung, Ebay and IBM. However, substantive challenges exist, both technical as well as legal, in their formulation, interoperability, and deployment that preclude their widespread use. The overall objective of KnowGraphs is to scale knowledge graphs to be accessible to a wide audience of companies of all sizes, and to enable their use by end users across their professional and private life by using a multi-disciplinary and multisectorial approach.

The first position will focus on the development of new systems, methods, and specifications to create rich and indexable metadata in a semi-automated manner to enable the efficient discovery and reuse of knowledge graphs. 

The second position will focus on approaches to automatically package, test, release, configure, deploy and monitor KGs across different storage solutions, access interfaces, and deployment environments.

Tasks include:

  • Work with a multi-stakeholder team to discuss research problems;

  • Develop computational methods for the preparation, analysis, and dissemination of knowledge graphs;

  • Validate developed methods using synthetic and real world data;

  • Communicate the results of the research to stakeholders and target groups;

  • Write scientific papers for international peer-reviewed conferences and journals;

  • Present your work in international conferences;

  • Provide teaching assistance in undergraduate and master’s courses;

  • Participate in off-site internships;

  • Finalise the work in a PhD thesis.

More Information


  • We offer a rewarding career at a young university in the heart of Europe, with a distinct global perspective and a strong focus on innovative research and education;

  • The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO), supplement with local UM provisions. For more information on terms of employment, please visit our website www.maastrichtuniversity.nl > Support > UM employees;

  • We offer a 4 year full-time appointment as PhD candidate. The first year will be a probation period, after a positive assessment the position will be extended for another 3 years. The earliest start date is April 1, 2020;

  • Remuneration will be according to according to standard salary levels for PhD students starting with a salary of €2.325,- with a yearly growth to €2.972,- gross a month, based on a full-time appointment (38 hours/week);

  • On top of this, there is an 8% holiday allowance and an 8.3% end of the year allowance;

  • We offer an attractive package of fringe benefits such as, reduction on collective health insurance, substantial leave arrangements, optional model for designing a personalised benefits package, sport facilities which staff may use at a modest charge and application for attractive fiscal arrangements for employees from abroad;

  • We provide a stimulating, collaborative and interdisciplinary work environment with excellent opportunities for professional and personal development;

  • Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe.

Selection process

De Universiteit Maastricht koestert haar inclusieve cultuur en open sfeer. Dankzij deze strategie heeft de UM een zeer diverse staf- en studentenpopulatie met veel verschillende nationaliteiten en culturen. Wij zijn ervan overtuigd dat diversiteit (in een bredere definitie dan alleen nationaliteit, leeftijd en geslacht) de kwaliteit van onderwijs en onderzoek bevordert. Een universiteit met aandacht voor diversiteit en inclusiviteit groeit uit tot een academische gemeenschap waar individueel talent tot bloei komt. Daarom nodigen we alle gekwalificeerde kandidaten nadrukkelijk uit om op deze functie te solliciteren.

Wil je reageren op deze vacature, stuur dan vóór 11 januari je sollicitatiebrief + CV naar recruitmentFSE@maastrichtuniversity.nl onder vermelding van het vacaturenummer.

Een assessment kan deel uitmaken van de procedure.

Web site for additional job details

Offer Requirements

Specific Requirements

  • MSc degree in Computer Science, Data Science, Artificial Intelligence or equivalent;

  • Training and/or experience with big data technologies, machine learning, deep learning, and data mining algorithms;

  • Demonstrable affinity with the topic;

  • Demonstrated ability to work independently as well as in a team;

  • Excellent oral and written English communication;

  • Relocate to Maastricht for the bulk of the work and to relocate within Europe for 2 short term internships with KnowGraph partners;

  • Complies with MC ITN Mobility Rule: Researchers must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately before the recruitment date.


Work location(s)
1 position(s) available at
Maastricht University (UM)
6229 ER
Universiteitssingel 60

EURAXESS offer ID: 470164
Posting organisation offer ID: 288071


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