Job Vacancies at ILLC

  • Two PhD candidates in deep learning and natural language processing

    The positions are sought for a joint project between the Institute of Informatics (IvI) and the Institute for Logic, Language and Computation (ILLC). The project seeks to develop deep learning methods for predictive analysis of complex network data (e.g., social networks, trading networks etc.), focusing on statistical modelling of information exchange in transaction networks.

    In this work we will use very large amounts of real data from a trading network (an industrial partner) but the methods will generalize to other types of networks. We will be developing predictive algorithms relying on the flow of transactions in the network. We also seek to cluster the businesses trading over the networks as well as the products that are being traded. As information in these networks mostly comes in a textual form, we will develop methods for inducing predictive semantics representations of texts, relying both on the text itself but also on the flow of information in the network.

    There are 2 PhD vacancies within this project:
    PhD1 will focus primarily on clustering and predictive modelling (affiliated with IvI, supervised by Prof. Max Welling), and
    PhD2 will focus primarily on natural language processing (affiliated with ILLC. supervised by Dr. Ivan Titov).

    Application deadline: 15 October 2015. For more information, see

  • PhD candidate in Computational Linguistics and Dialogue Processing

    The ILLC is looking for a highly motivated, creative and talented PhD candidate to join the newly established Dialogue Modelling Group led by Raquel Fernández. The mission of the group is to understand dialogical interaction by developing empirically-motivated formal and computational models that can be applied to various dialogue processing tasks and to human-machine interaction.

    The PhD position is part of an NWO VIDI project focused on studying linguistic interaction in the presence of asymmetry, that is, imbalances or mismatches between dialogue participants. Looking into asymmetric settings provides a great opportunity for investigating the dynamic changes that linguistic interaction can potentially bring about: how do our choices of words and phrases contribute to language learning, to knowledge transfer, or to opinion shifts? The project has a broad scope, including first and second language learning, computational social science, and human-machine interaction. The successful candidate is expected to have a strong interest in some of these areas or generally in dialogue processing.

    Application deadline: 16 November 2015. For more information, see

  • (New) Postdoctoral researcher at ILLC

    The ILLC is opening a vacancy for a postdoc in any subject that fits into its research at the Faculty of Science. The selection procedure is linked to NWO's VENI programme.

    Application deadline: 1 November 2015. For more information, see