InicioTwo post-doctoral positions for the projet "Decoding Antisemitism"

InicioTwo post-doctoral positions for the projet "Decoding Antisemitism"

*  *  *

Publicado el miércoles 30 de septiembre de 2020

Resumen

In the three-year pilot pro­ject "Identi­fy­ing the Real Dimen­sion of Anti­semit­ism 2.0 in Europe", an inter­na­tional research team will invest­ig­ate anti­semitic lan­guage and image use on news web­sites and social media plat­forms of the polit­ical main­stream in three European coun­tries (Ger­many, Great Bri­tain and France). First, the object of invest­ig­a­tion is ana­lysed in detail. In the second step, all of the examined phe­nom­ena are invest­ig­ated in their breadth by means of quant­it­at­ive ana­lyses. Main tasks of the post-doctoral positions will be, on one hand, the qual­it­at­ive lin­guistic con­tent ana­lysis of social media com­ments and ana­lysis of image mater­ial and text-image rela­tion­ships in rela­tion to anti­semitic con­tent; on the other hand, the applic­a­tion of quant­it­at­ive lin­guistic meth­ods to the social media cor­pus.

Anuncio

Presentation

The pos­i­tion that is avail­able relates to the tri-nation research pro­ject "Identi­fy­ing the Real Dimen­sion of Anti­semit­ism 2.0 in Europe" ana­lys­ing anti­semitic and ras­cist forms of exclu­sion on the inter­net. The pro­ject will begin at the Cen­ter for Research on Anti­semit­ism from August 2020 and is sup­por­ted by the Lan­decker Found­a­tion.

Work­ing field

In this three-year pilot pro­ject, an inter­na­tional research team will invest­ig­ate anti­semitic lan­guage and image use on news web­sites and social media plat­forms of the polit­ical main­stream in three European coun­tries (Ger­many, Great Bri­tain and France). First, the object of invest­ig­a­tion is ana­lysed in detail (qual­it­at­ive con­tent ana­lyses based on prag­ma­lin­guistic, dis­course ana­lyt­ical and image ana­lyt­ical cat­egor­ies). This step con­siders both expli­cit and par­tic­u­larly impli­cit pat­terns of lan­guage use (word plays, allu­sions, indir­ect speech acts, etc.). In the second step, all of the examined phe­nom­ena are invest­ig­ated in their breadth by means of quant­it­at­ive ana­lyses. The aim of the pro­ject is to cat­egor­ise pat­terns of lan­guage use of anti­semitic utter­ances in such a way that they can be con­ver­ted into algorithms that are trained on this basis to auto­mat­ic­ally recog­nise anti­semitic utter­ances.This pos­i­tion is assigned to the research team for France.

Tasks

The tasks of the pos­i­tion include:

  • The qual­it­at­ive lin­guistic con­tent ana­lysis of social media com­ments and ana­lysis of image mater­ial and text-image rela­tion­ships in rela­tion to anti­semitic con­tent.
  • The applic­a­tion of quant­it­at­ive lin­guistic meth­ods to the social media cor­pus (the qual­it­at­ive ana­lyses are the focus).

Employment conditions and salary

  • Type: graduate position research assistant
  • Category (TU Ber­lin): Research assist­ant without teaching obligation, PostDoc
  • Duration:  limited until 31/07/2023
  • Part-/Full-time: full-time, part-time employment may be possible
  • Start­ing date (earli­est): At the earliest possible
  • Remuneration:  Salary grade E13

Require­ments

Suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) and doc­tor­ate in the sub­jects of lin­guist­ics, applied lin­guist­ics or social sci­ences and his­tor­ical stud­ies.

Know­ledge or pre­lim­in­ary work in the fol­low­ing areas is desir­able:

  • Prag­ma­lin­guist­ics
  • Cor­pus lin­guist­ics
  • Image ana­lysis, semi­ot­ics, mul­timodal com­mu­nic­a­tiono Dis­course Ana­lysis (CDA)
  • Media and/or com­mu­nic­a­tion stud­ieso Digital Human­it­ieso Argu­ment­a­tion the­ory

Know­ledge of past and present mani­fest­a­tions of anti­semit­ism is desir­able.Exper­i­ence in using the MAXQDA soft­ware is an advant­age.

In addi­tion to tech­nical expert­ise, excel­lent com­mu­nic­a­tion and team skills are required.Busi­ness flu­ent know­ledge of French as well as very good spoken and writ­ten Eng­lish are required, good know­ledge of Ger­man is an advant­age.

How to ap­ply

Please send your applic­a­tion quot­ing the ref­er­ence num­ber with the usual doc­u­ments without a pic­ture (one-page let­ter of motiv­a­tion, CV, includ­ing a list of your own pre­lim­in­ary work if avail­able) in a PDF doc­u­ment as well as a rel­ev­ant selec­tion of the pre­lim­in­ary work (also work that is unpub­lished – e.g. final thesis) each as a single PDF via email only to sekretariat@asf.tu-berlin.de. Also use this email address if you require fur­ther inform­a­tion about the pos­i­tion.

By sub­mit­ting your app­lic­a­tion via email you con­sent to hav­ing your data elec­tron­ic­ally pro­ces­sed and saved. Please note that we do not pro­vide a guar­anty for the pro­tec­tion of your per­sonal data when sub­mit­ted as unpro­tec­ted file. Please find our data pro­tec­tion notice acc. DSGVO (Gen­eral Data Pro­tec­tion Reg­u­la­tion) at the TU staff depart­ment home­page: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

To ensure equal oppor­tun­it­ies bet­ween women and men, app­lic­a­tions by women with the requi­red qual­i­fic­a­tions are expli­citly desi­red. Qual­i­fied indi­vidu­als with dis­ab­il­it­ies will be favo­red. The TU Ber­lin val­ues the diver­sity of its mem­bers and is com­mit­ted to the goals of equal oppor­tun­it­ies.

Reference Number: I-574/20

Lugares

  • Berlín, Alemania

Fecha(s)

  • viernes 09 de octubre de 2020

Palabras claves

  • linguistics 2.0

Fuente de la información

  • Daniel Palm
    courriel : palm [at] agentur-bildung [dot] de

Licencia

CC0-1.0 Este anuncio está sujeto a la licencia Creative Commons CC0 1.0 Universal.

Para citar este anuncio

« Two post-doctoral positions for the projet "Decoding Antisemitism" », Beca, premio y empleo , Calenda, Publicado el miércoles 30 de septiembre de 2020, https://doi.org/10.58079/15d8

Archivar este anuncio

  • Google Agenda
  • iCal
Buscar en OpenEdition Search

Se le redirigirá a OpenEdition Search