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Post-Doctoral Grant

Title: Big data, social dynamics and natural language

Supervisor: Maria Eunice Quilici Gonzalez

Objectives

The main objectives of this research project are (1) to investigate, as part of the Brazilian team of the T-AP project, the development of models in computational social science, specifically models of language dynamics, by means of big data tools and in the context of the theory of complex systems, and (2) to investigate how and if evidence from Big Data analyses support the hypothesis that natural languages have the characteristics of complex semiotic systems.

Scholarship profile

The candidate should be trained in data mining and Big Data in the areas of Linguistics, Communication and Philosophy. Familiarity with computational modeling of the dynamics of language and habit evolution in social networks is also required.

Registrations will be accepted until 30/04/2018 and should be send to:

humanidades.bigdata@gmail.com

Candidate’s requirements

a. The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship.

b. The fellowship demands full time dedication to the research project (except under conditions outlined in resolution PR Nº 13/2009, 15 July 2009).

c. The fellowship holder may not hold any formal or informal employment nor receive, during the term of the fellowship, a fellowship from another entity, salary or remuneration deriving from the exercise of activities of whatever nature (except under conditions outlined in the decree PR Nº 13/2009, 15 July 2009).

Candidate’s obligations

a. Full dedication to research (except under conditions outlined in the resolution PR Nº 13/2009, 15 July 2009).

b. Not to receive a fellowship from another entity, salary or remuneration deriving from the exercise of activities of any nature (except under conditions outlined in the resolution PR Nº 13/2009, 15 July 2009).

c. To consult FAPESP before accepting any financial support from any other funding source, public or private, for the development of the research project that concerns the fellowship awarded.

d. Not to make any modifications to the project (initial plan, dates etc.) without the prior consent of the Foundation.

e. To submit scientific reports and reports on the application of the Research Contingency Funds within the time frames laid out in the Terms of Award (TA), accompanied by the requested documentation.

f. Not to absent himself from the institution in which he is developing his research project, except to carry out field research or a research placement, for a limited time and with the authorization of FAPESP and with the supervisor’s endorsement.

g. To refer to the support from FAPESP in theses, articles, books, abstracts of presentations in meetings and any other type of publication or form of outreach activities that result, wholly or in part, from the fellowship.

Criteria of Selection:

The selection will be carried out from the analysis of the candidate's CV and an on-line or face-to-face interview.

CountryBrazil
LabFaculty of Philosophy and Sciences - Unesp / Marília
Duration/Period2018-2020
Deadline30/04/2018 0:00
Linkhttp://www.fapesp.br/oportunidades/compreendendo_a_dinamica_da_opiniao_e_da_linguagem_utilizando_big_data_projeto_tap/2025/
KeywordsBig Data; Language; Social Dynamics; Complex Systems; Data Mining;

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