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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.
As PhD student you should:
Candidates who have a background in data integration, machine learning, and/or semantic web are preferred.
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:
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.
With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands. Teaching and research at the UvA are conducted within seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Law, Science, Medicine and Dentistry. Housed on four city campuses in or near the heart of Amsterdam, where disciplines come together and interact, the faculties have close links with thousands of researchers and hundreds of institutions at home and abroad.
The UvA’s students and employees are independent thinkers, competent rebels who dare to question dogmas and aren’t satisfied with easy answers and standard solutions. To work at the UvA is to work in an independent, creative, innovative and international climate characterised by an open atmosphere and a genuine engagement with the city of Amsterdam and society.
The Intelligent Data Engineering Lab (INDE Lab) is part of the University of Amsterdam’s Informatics Institute.
The mission of the Informatics Institute is to perform curiosity-driven and use-inspired fundamental research in Computer Science. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
We prefer to select specific topics and pursue them from methods in informatics and engineering, rather than make a choice for fundamental versus engineering science. As part of our research mission, we maintain strategic multi-disciplinary research links inside and outside the University of Amsterdam.