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  3. PhD candidate in Adaptive Knowledge Graph Construction

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PhD candidate in Adaptive Knowledge Graph Construction

The Intelligent Data Engineering Lab (INDE Lab) at the University of Amsterdam’s Informatics Institute is seeking a PhD candidate in the area of knowledge …

ongeveer 2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Spui, Amsterdam, Noord-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Salarisindicatie:
€ 2325 - € 2972 per maand
Opleidingsniveau:
WO

Functieomschrijving

The Intelligent Data Engineering Lab (INDE Lab) at the University of Amsterdam’s Informatics Institute is seeking a PhD candidate in the area of knowledge graph construction and data integration.

Knowledge graphs have become a foundational element for artificial intelligence based systems and organizational data management. A critical question is how to both rapidly construct knowledge graphs for new domains but also adapt existing knowledge graphs to new down-stream tasks. We are looking for PhD candidates who wish to develop expertise in machine learning, embedding based approaches to data integration, knowledge graphs and semantic technologies. You will investigate new approaches to creating knowledge graphs based on recent advances in data programming, weak supervision and adaptive entity resolution. The candidate will have the opportunity to contribute to open source and open data initiatives.

You will be joining the newly formed INtelligent Data Engineering Lab (INDE Lab) - indelab.org. The lab's broad aim is to tackle problems relating to the preparation, management, integration and reuse of data using empirical insights into data science practice. The lab is situated within the larger Amsterdam data science and artificial intelligence ecosystem (e.g. amsterdamdatascience.nl, icai.ai) and values practice-informed and interdisciplinary research and outreach.

We strongly encourage applications coming from a unique perspective. Tell us how your background fits with the aims of the lab.

Functie-eisen

As PhD student you should:

  • have a Master of science degree in computer science (or other relevant disciplines);
  • be fluent in English;
  • have experience in machine learning, data management, and software programming (using Java, Python or other languages).

Candidates who have a background in data integration, machine learning, and/or semantic web are preferred.

Conditions

The appointment will be on a temporary basis for a period of 18 months and after satisfactory evaluation it can be extended for a total duration of 4 years. The appointment should lead to a dissertation (PhD thesis). An educational plan will be drafted that includes attendance of courses and (international) meetings. The PhD candidate is also expected to assist in teaching of bachelor and master students.

The gross monthly salary will range from €2,325 (first year) up to a maximum of €2,972 (last year). The salary is based on a full-time appointment (38 hours a week). The total salary includes an additional 8% holiday allowance and 8,3% end-of-year bonus, under the Collective Labour Agreement of Dutch Universities (Cao).

A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants.

Among other things, we offer:

  • competitive pay and good benefits;
  • top-50 University worldwide;
  • one of the best Deep Learning Ecosystems in the World
  • interactive, open-minded and a very international city;
  • excellent computing facilities.

English is the working language in the Informatics Institute. As in Amsterdam almost everybody speaks and understands English, candidates need not be afraid of the language barrier.

Additional information

For more information about the position, please contact:

You can send in your application no later than 5 March 2019 using this link. Please upload the following information in a single PDF file:

  • a cover letter, including a description of your research interests and an explanation for why you are applying for this position (at most two pages);
  • a detailed curriculum vitae (CV);
  • a list of all Master-level modules you have taken, with an official transcript of grades;
  • a link to a writing sample available online, such as a Master’s thesis, a term paper, or a publication (in case of joint authorship, please clearly indicate your own contribution);
  • the names, affiliations, and email addresses of two or (at most) three people we can contact for letters of reference for you.

The single pdf can be uploaded in de field marked CV in the application form.

At this stage of the procedure, please do not send letters of reference or proofs of your academic writing.

Please quote vacancy number 19-079 in your cover letter.

Late or incomplete applications will be considered at the committee’s discretion.