The Grenoble Alps University has an open position for a highly
motivated postdoc researcher. The successful candidate will work on the
multi-disciplinary ERC Synergy research project NanoBubbles
(https://nanobubbles.hypotheses.org) supported by the European Research
Council (ERC). The project objective is to understand how, when and why
science fails to correct itself. The project?s focus is 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 in various channels of
scientific communication (journals, social media, advertisements,
conference programs, etc.) via natural language processing (NLP)

*Main tasks*

The challenge is to build datasets, models and tools that enable
analysing how scientific papers are cited, how claims appear in
scientific records and are propagated. This challenge also encompasses
the analysis of the rapidly evolving ecology of on-line comments (on
post-publication peer-review venues, for instance) complementary to
conventional scientific records. The project is interested in hiring
people able to contribute to one or more of the following challenges:

– Leveraging existing and developing new NLP methods to retrieve
citation contexts, detect citation polarity and build citation
network of scientific statements. This means not only counting
citations received by a publication but also assessing the
content of both cited and citing documents, whether the
citation occurs in a scientific paper, a tweet or an on-line
– Leveraging existing and developing new NLP methods to detect,
track and identify named entities, claims and counterclaims in
scientific publications and social media.
– Take advantage of existing corpus to learn models but also
build tools for creation and annotation of new datasets so as
to visualise the propagation of claims and counterclaims.

The hired person will interact with PhD students, interns and
researchers hired as part of the ERC project. According to his/her
background he/she will work in on one or more of the above-mentioned
challenges. The hired post-doc would also be expected to lead the
diffusion of corpus collected through open source platforms and/or open
shared tasks organisation.

*Scientific environment*

The person recruited will be hosted within the Sigma and Getalp teams
of the LIG laboratory (http://sigma.imag.fr/ and
https://lig-getalp.imag.fr/), which offers a dynamic, international,
and stimulating framework for conducting high-level
multi-disciplinary research. The teams are 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 Times Higher Education
magazine in 2018.

The person will also be required to collaborate with several teams
involved in the ERC Nanobubbles project, in particular with researchers
in France from the IRIT lab (Toulouse, France), Ecole des Ponts
ParisTech, University of Sorbonne Paris-Nord, CNRS, as well as
researchers from in the Netherlands including Maastricht University,
Radboud Universiteit and University of Twente.


Grenoble Alps University


The ideal candidate must have a PhD degree in Natural Language
Processing, computer science.
The successful candidate should have:
– Good knowledge of machine learning techniques
– Good knowledge of Natural Language Processing, previous experience
in NER, RE.
– Experience in corpus collection/formatting and manipulation.
– Strong programming skills in Python
– Excellent publication record
– Willing to work in multi-disciplinary and international teams
– Good communication skills

Specific requirements:

full-time position for 24 months

Educational level:

Ph. D.

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