Call for postdoc applications in Natural Language Processing for the
automatic detection of gender stereotypes in the French media (Grenoble
Alps University, France)
Starting date: flexible, November 30, 2023, at the latest
Duration: full-time position for 12 months
Salary: according to experience (from 2480€ up
to 4142€ gross/month)
Application Deadline: Open until filled
Location: The position will be based in Grenoble, France.
This is not a remote work.
Keywords: natural language processing, gender stereotypes
bias, corpus analysis, language models, transfer learning, deep learning
*Context* The University of Grenoble Alps (UGA) has an open position for
a highly motivated postdoc researcher to joint the multidisciplinary
GenderedNews project. Natural Language Processing models trained on
large amount of on-line content, have quickly opened new perspectives to
process on-line large amount of on-line content for measuring gender
bias in a daily basis (see our project https://gendered-news.imag.fr/
<https://gendered-news.imag.fr/> ). Regarding research on stereotypes,
most recent works have studied Language Models (LM) from a stereotype
perspective by providing specific corpora such as StereoSet (Nadeem et
al., 2020) or CrowS-Pairs (Nangia et al. 2020). However, these studies
are focusing on the quantifying of bias in the LM predictions rather
than bias in the original data (Choenni et al., 2021). Furthermore, most
of these studies ignore named entities (Deshpande et al., 2022) which
account for an important part of the referents and speakers in news. In
this project, we intend to build corpora, methods and NLP tools to
qualify the differences between the language used to describe groups of
people in French news.
*Main Tasks*
The successful postdoc will be responsible for day-to-day running of the
research project, under the supervision of François Portet (Prof UGA at
LIG) and Gilles Bastin (prof UGA at PACTE). Regular meetings will take
place every two weeks.
- Defining the dimensions of stereotypes to be investigated and the
possible metrics that can be processed from a machine learning perspective.
- Exploring, managing and curating news corpora in French for
stereotypes investigation, with a view to making them widely available
to the community to favor reproducible research and comparison.
- Studying and developing new computational models to process large
number of texts to reveal stereotype bias in news. Make use of
pretrained models for the task.
- Evaluate the methods on curated focused corpus and apply it to the
unseen real longitudinal corpus and analyze the results with the team.
- Preparing articles for submission to peer-reviewed conferences and
journals.
- Organizing progress meetings and liaising between members of the team.
The hired person will interact with PhD students, interns and
researchers being part of the GenderedNews project. According to his/her
background his/her own interests and in accordance with the project's
objective, the hired person will have the possibility to orient the
research in different directions.
*Scientific Environment*
The recruited person will be hosted within the GETALP teams of the LIG
laboratory (https://lig-getalp.imag.fr/
<https://lig-getalp.imag.fr/>), which offers a dynamic, international,
and stimulating environment for conducting high-level
multidisciplinary research. The person will have access to large
datasets of French news, GPU servers, to support for missions as well as
to the scientific activities of the labs. The team is housed in a modern
building (IMAG) located in a 175-hectare landscaped campus that
was ranked as the eighth most beautiful campus in Europe by the Times
Higher Education magazine in 2018.
The person will also closely work with Gilles Bastin (PACTE, a Sociology
lab in Grenoble) and Ange Richard (PhD at LIG and PACTE). The project
also includes an informal collaboration with "Prenons la une"
(https://prenonslaune.fr/ <https://prenonslaune.fr/>) a journalists’
association which promotes a fair representation of women in the media.
*Requirements*
The candidate must have a PhD degree in Natural Language Processing or
computer science or in the process of acquiring it. The successful
candidate should have
- Good knowledge of Natural Language Processing - Experience in corpus
collection/formatting and manipulation. - Good programming skills in
Python - Publication record in a close field of research - Willing to
work in multidisciplinary and international teams - Good communication
skills - Good mastering of French is required
*Instructions for applying*
Applications will be considered on the fly and must be addressed to
François Portet (francois.por...@imag.fr
<mailto:francois.por...@imag.fr>). It is therefore advisable to apply as
soon as possible.
The application file should contain
- Curriculum vitae
- References for potential letter(s) of recommendation
- One-page summary of research background and interests for the position
- Publications demonstrating expertise in the aforementioned areas
- Pre-defense reports and defense minutes; or summary of the thesis with
the date of defense for those currently in doctoral studies
Please also upload your application to the following page using the
button "Je postule"
https://emploi.univ-grenoble-alpes.fr/offres/doctorants/postdoctoral-position-in-natural-language-processing-and-gender-stereotypes-in-french-media-1283809.kjsp?RH=1135797159702996
*References*
Deshpande et al. (2022). StereoKG: Data-Driven Knowledge Graph
Construction for Cultural Knowledge and Stereotypes. arXiv preprint
arXiv:2205.14036.
Choenni et al. (2021). Stepmothers are mean and academics are
pretentious: What do pretrained language models learn about you? arXiv
preprint arXiv:2109.10052.
Nadeem et al. (2020) StereoSet: Measuring stereotypical bias in
pretrained language models. ArXiv.
Nangia et al. (2020) CrowS-Pairs: A Challenge Dataset for Measuring
Social Biases in Masked Language Models. In EMNLP2020.
--
François PORTET
Professeur - Univ Grenoble Alpes
Laboratoire d'Informatique de Grenoble - Équipe GETALP
Bâtiment IMAG - Office 333
700 avenue Centrale
Domaine Universitaire - 38401 St Martin d'Hères
FRANCE
Phone: +33 (0)4 57 42 15 44
Email:francois.por...@imag.fr
www:http://membres-liglab.imag.fr/portet/
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