Open Postdoc positions near Paris

Open Positions

We are inviting applications for two Postdoc positions in the DIG Team in the Computer Science Department of the Télécom ParisTech University near Paris to work with Fabian Suchanek and Gaël Varoquaux of INRIA Saclay on knowledge bases.

About us

Télécom ParisTech is an engineering school in Paris. These schools are the more competitive variant of universities in the public education system of France, with student admission ratios of around 5%-10% (see Wikipedia). The school was founded in 1878, and prides itself to have invented the word “telecommunication”. The school is located right in the center of Paris (the capital of France), and will relocate to Palaiseau (45 minutes south of Paris by public transport) in October 2019.

Our team is the DIG Team, and we do research in Big Data, Knowledge Bases (KBs), Social Web, Web Data, Data Streams, and Cognition. In particular, we co-develop the YAGO knowledge base, one of the largest knowledge bases on the Semantic Web.

The offered positions are full-time positions for 1 year (around 2000 EUR net per month). They are not bound to an industry grant: There are no deliverables to write, and no software to deliver. The candidates will be able to devote their entire time to research. It is possible to do teaching, though, if the candidates so desire.

First Postdoc position: Schema Mining

This postdoc position is under the supervision of Fabian Suchanek. The larger research topic is “schema mining”, i.e., the automated discovery of schema information in knowledge bases. Some of the possible directions are: See here for previous research work.

Second Postdoc position: Data Integration

This position is under the supervision of Fabian Suchanek and Gaël Varoquaux of INRIA Saclay. INRIA Saclay is located, likewise, in Palaiseau. INRIA is the main French public research institute in computer science. Gaël, in particular, co-develops the scikit learn project.

The larger research topic of the PhD position is “data integration”, i.e., the automated linking of equivalent information across data sources (in particular knowledge bases). Some of the possible directions are:

Applying

We expect many candidates (we had 70 last time), so please apply as stated here. Please upload
  1. your CV named firstname-lastname-CV.pdf. Make sure it contains
  2. your motivation letter named firstname-lastname-motivation.pdf.
at this address. This is a first test of your computer science skills ;-) There is no fixed deadline, we will continue accepting applications until suitable candidates have been found. You will receive an acknowledgment of your application by email within a week's time.

The small print: This is to be understood a call for expression of interest, not a legally binding offer.