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Two post-doctoral positions on opinion and language dynamics

A. Modeling Opinion Dynamics

By analyzing large bases of textual data we aim at extracting patterns of relevant information, in order to construct data based models of opinion formation and evolution.

This implies addressing, among others, the following questions:

  • How can relevant information be obtained from the Big Data sources at disposal in order to build data based models of opinion dynamics? What is the role of the metadata in this endeavor?
  • How can one infer the network of social contacts on the basis of these data?
  • How can one capture opinion dynamics? Which parameters characterize the dynamical process? How these parameters depend on the type of media where opinion diffuses?


More specifically, using the NYT database, which runs over a long period (roughly from1850 until now), we are interested in understanding how scientific topics of high societal impact migrate from the channels restricted to scientists to the public media and how this diffusion contributes to fashion the public opinion on those particular topics.

Requirements for this position

Candidates should hold a PhD in Physics or in Computer Science, with some knowledge in the area of social networks, opinion dynamics or information diffusion. She/he should have good modeling and programming skills. Some knowledge on data management and notions of cloud-based computing are also appreciated.

Working Place:

The selected candidate will work at Laboratoire de Physique Théorique et Modélisation (LPTM) UMR8089 CNRS-UCP, in collaboration with Laura Hernández (LPTM) and Dimitris Kotzinos, from ETIS laboratory of Cergy-Pontoise University (Paris-Seine University). She/he will benefit from the working environment of both laboratories and will take part in the activities of the OpLaDyn team.


B. Language Dynamics

The task of this post-doc will be (i) to extract and analyze patterns of language evolution from historical corpora, focusing on phenomena of lexicalization and grammaticalization, and (ii) to improve existing models of language change. The goal is to test out existing hypotheses of language dynamics, such as drift or S-curves, against both language models and corpus data. The results will be presented at international conferences and published in peer reviewed interdisciplinary journals. The postdoc will have access to several large diachronic corpora (among which the NYT database), and will be encouraged to collect additional data by him/herself.

Requirements for this position

Candidates should have a PhD in (theoretical/statistical) Physics, Computer Science or Natural Language Processing (NLP), along with a basic knowledge of and a strong interest in language sciences. Alternately, they could have a PhD in linguistics, with advanced skills in programming and/or modeling. Good knowledge of English is mandatory.

Working Place

The post-doc will work at the Ecole Normale Supérieure (ENS, Paris) within an interdisciplinary environment, with members of two labs, Lattice (Linguistics) and LPS (Physics), and in interaction with the other partners of the project.


CountryFrance
Lab Laboratoire de Physique Théorique et Modélisation
Starts on01/01/2018
Duration/Period2018
Deadline30/11/2017 0:00
FilesPostDoc_opening.pdf
KeywordsOpinion dynamics; data mining; data base models; complex networks applications; dynamical systems;

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