[image: image.gif]Dear All,
The University of Grenoble-Alpes, France, announces an open position for a
scientific data curator (24 months) within the ERC Synergy NanoBubbles
project.
https://nanobubbles.hypotheses.org/280
Starting date: January 03, 2021 at the earliest
Duration: full-time position for 24 months (with a possibility of
reappointment)
Deadline for Applications: November 31st, 2021
Location: The position will be based in Grenoble, France
Remote work will be possible, eg: 1 day/week
Keywords: Corpus, digital humanities, data collection
Context
The NanoBubbles ERC Synergy project’s objective is to understand how, when
and why science fails to correct itself. The project focuses on claims made
within the field of nanobiology. Project members combine approaches from
the natural sciences, computer science, and the social sciences and
humanities (Science and Technology Studies) to understand how error
correction in science works and what obstacles it faces. For this purpose,
we aim to trace claims and corrections through various channels of
scientific communication (journals, social media, advertisements,
conference programs, etc.) via both qualitative and digital methods.
Your contribution to the main project will be to advise on, run and/or
maintain software and systems that support activity related to collection,
analysis, storage and presentation of textual data and metadata.
This is an exciting opportunity to join a highly interdisciplinary research
team working at the forefront of Science and Technology Studies, Digital
Humanities, ethics of/in research, and nanoscience.
You will:
- Build corpuses with data collected from heterogeneous sources (eg.:
bibliographic databases like Scopus or Dimensions, full-text databases
like
ISTEX or open archive repositories, social networks, post-publication
peer-review platforms and other online tools allowing annotations and
comments…)
- Process and transform data, organize data flow to database, create
formal links between datasets.
- Curate metadata
- Develop scripts for data collection via APIs (preferably: Python,
SQL, Java, R) and web scraping (e.g., HtmlUnit, Selenium)
- Contribute to the development of a common vocabulary and map it to
existing ontologies
- Implement and manage various software pipelines to support data
analysis and text mining.
- Help the other team members to run experiments and validate their
choices
- Document the data lifecycle and update the data management plan
You will work closely with PhD students, interns and researchers of the ERC
project.
You will also benefit from the skills and the research environment of 2
research units: the LISIS (http://umr-lisis.fr) and the LIG (
https://www.liglab.fr/en).
Qualifications
Master’s degree in data science, digital humanities or computational social
sciences.
Very good knowledge of English
Qualifications in corpus linguistics tools, corpus-based research,
quantitative and qualitative data analysis, natural language processing or
computational linguistics are deemed as a plus.
Instructions for applying
Applications are expected until November 31st, 2021.
Please send CV + letter/message of motivation + grades from previous
education + references for potential letter(s) of recommendation to:
Frederique Bordignon (frederique.bordignon@enpc.fr),
Cyril Labbé (cyril.labbe@imag.fr),
and Cyrus Mody (c.mody@maastrichtuniversity.nl).
--
Responsable du Pôle IST (Direction de la
Documentation de l'Ecole des Ponts)
Membre du laboratoire LISIS
@freddie2310 - Blog :
https://carnetist.hypotheses.org
NanoBubbles Team Member: https://nanobubbles.hypotheses.org
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