Dear colleagues, The CRIT laboratory of the University of Franche-Comté (Besançon) offers a doctoral contract in TAL on the extraction of information from scientific articles.
The thesis will be funded by the ANR InSciM project "Modelling uncertainty in science".
Thank you for disseminating this offer very widely to potentially interested students.
Bien cordialement, Iana Atanassova
A 3-year PhD fellowship in Natural Language Processing is available at the CRIT - Centre Tesnière laboratory, University of Bourgogne Franche-Comté, France.
Start date : November 2021
Location : Besançon, France
Contact : Iana Atanassova - [email protected]
Research Team and Doctoral School The CRIT - Centre Tesnière laboratory (http://tesniere.univ-fcomte.fr/), at the University of Bourgogne Franche-Comté, Besançon, France, develops linguistic approaches in NLP for informatio n extraction, IR and text mining.
The PhD thesis will be part of the French ANR project « InSciM – Modelling Uncertainty in Science » starting in October 2021 with scientific coordinator Dr Iana Atanassova.
Doctoral school: LECLA (https://www.adum.fr/as/ed/actu.pl?site=lecla)
The PhD thesis can be written in French or in English. The PhD candidate will have the possibility to obtain the «European Doctorate» label.
Project Context and Motivation As the world undergoes profound transformations, science is highly solicited, such as in the context of health crises (Covid-19), the reflection and dialogue on climate change, ecological and energy transformations, monetary transformation, humanitarian issues, or geopolitical crises. The perception of uncertainty in scientific discourse is therefore an important issue for all scientific activities.
In science, the production of new knowledge uses rigorous methodological approaches based on the object of study and its disciplinary field. However, the use of tools or observations that produce a margin of error, as well as the use of abductive and inductive reasoning imply the presence of uncertainty, which can be specific to each discipline, linked to the object of the study and the methodologies that are used. Uncertainty in science is an integral part of the research process.
This project aims to study uncertainty in science through ontological and linguistic modelling of this notion from datasets of articles in different disciplines. The objectives are to propose a linguistic model of the expression of uncertainty in scientific articles, in order to propose a tool to identify and classify these phenomena present in papers in different disciplines in Social Sciences and Humanities (SSH) and in Science, Technology, and Medicine (STM).
Objectives and Scope of the PhD Thesis
The major objectives of the research during the PhD fellowship include: - on the theoretical level, designing a disciplinary linguistic ontology of uncertainty and the ways in which it is expressed in publications, taking into account disciplinary differences: in experimental sciences, in exact sciences, and in humanities and social sciences.
- on the application level, constructing reference corpora - Gold Standards - that will be annotated to identify the textual segments carrying uncertainty, as well as the objects on which the uncertainty applies (results, values, models, . . . ).
These reference corpora will be made available to the community to allow, among other things, the training of machine learning or deep learning models.
The first task will be to prepare the datasets of full-text scientific papers in English and in different disciplines.
We will need to identify APIs and datasets in full text that are available for academic use, and to harvest and prepare these data for further processing.
As the full text data can be available in different formats, e.g. XML, LaTeX, HTML, we will need to identify the tools and develop the processing pipelines to obtain a unified representation of all documents.
The production of a Gold Standard, an annotated dataset with concepts of uncertainty, will be a major result from this project.
The Gold Standard is a large-scale dataset that is annotated using the ontology of uncertainty and where all measures have been taken to guarantee a high quality and consistency of the annotation.
Its creation requires the design of linguistic rules and knowledge-based methods for the initial annotation, and repeated manual evaluations of annotated samples in order to control the quality of the output in terms of precision and recall.
This dataset will then be used to train language models.
http://ontologia.fr/TOTh/Conference/TOTh2018/TOTh_2018.pdf
Requirements
- Master’s degree in one of the following disciplines: Natural Language Processing, Linguistics, Computer Science, Information Science, Data Mining or related disciplines.
- Experience in working with research articles and understanding of the research process.
- Strong motivation, willingness to learn new skills and to work in academy, good communication skills.
- English : spoken and written.
- Computer programming skills and experience in NLP are a plus.
Application
Candidates must submit their applications by e-mail to Iana Atanassova ([email protected]).
The applications must include the following documents:
- CV and cover letter
- Diplomas (including exam scores)
- Names and contact information for possible reference persons
- Optionally, an example of your previous work (if possible related to NLP), e.g. a master’s thesis, a research paper, etc.
Applications will be considered on the fly. It is advisable to apply as soon as possible. Selected candidates will be invited for interviews in October 2021.
The offer in detail: http://www.univ-lemans.fr/_res ource/Universite/S_engager_a_nos_cotes/Recruitment/ATER-CTER/27CTER0532.pdf
=INFORMATION= Recruitment open: from 16 September to 16 October 2021 before 4 p.m.
Quota: 100% Duration of the contract: from 01/12/2021 to 31/08/2022 CNU section: 27
=Research= URL of the laboratory: http://www-lium.univ-lemans.fr
Person(s) to contact (Name, function, tel, email): Sébastien George, director of the laboratory, 02 43 59 49 16,
**Two teams :**
1. one of fourteen EC specialized in computer environments for human learning (EIAH Engineering), led by Sébastien Iksal;
2. one of EC specialized in speech recognition, machine translation (Language and Speech Technology ( LST) and text mining, directed by Sylvain Meignier
= Teaching = At the IUT of Le Mans: Office automation (spreadsheet), Database management system, Information system, Business intelligence, project management and internship follow-ups.
Contacts for the teaching profile (Name, function, tel., mail): - Xavier PALLARD, head of department, 0615882258, [email protected] - Nicolas DUGUÉ, lecturer in computer science, [email protected]
Hello, The Faculty of Letters of Sorbonne University is recruiting 1 ATER in Computer science within the Faculty of Sociology and Computer Science for Social science. Position taken on December 1.
The lessons take place in 2 sites of the Faculty of Letters on Paris (Center Clignancourt, Center Malesherbes) as well as at the house of research ( 28 rue Serpente , St Michel district) where is located the UFR and the ATER office.
The list of teachers in the department can be found here http://lettres.sorbonne-universite.fr/faculte-des-lettres/ufr/sciences-humaines-et-sociales/sociologie-et-informatique-pour-les-1 ),
we are mostly attached to the Linguistics team Computational of the STIH laboratory ( http://stih-sorbonne-universite.fr/people.html ).
The lessons are mainly in the IT part of the Language Sciences License and in the Language and Computer science. Requirements include Python programming, Language engineering and Databases.
In terms of research, we are looking for the following profiles: TAL, Knowledge Engineering and IA in the broad sense.
The profile is available online here:
https://recrutement.sorbonne-universite.fr/fr/personnels-enseignants-chercheurs-enseignants-chercheurs/enseignants-chercheurs/campagne-de-recrutement-ater.html
The procedure is open until midnight Friday 8 October.
The folder complete (details below) must be sent by email to the management deputy of the UFR ( [email protected] and [email protected] ).
The application file will include on the one hand the declaration of application, certificate of status, and certificate of the director of thesis if thesis in progress (forms available on https://recrutement.sorbonne-universite.fr/fr/personnels-enseignants-chercheurs-enseignants-chercheurs/enseignants-chercheurs/campagne-de-recrutement-ater.html ) and on the other hand a CV, a cover letter and a copy of a document identity.
NB: This is a full-time position, 144h corresponding to the pro rata statutory 192 hours over 9 months
For any other question, do not hesitate to contact us before nomination
Regards,
Hello, as part of a project of the Polytechnic Institute of Paris, we offer 2 theses on the following themes:
- Modeling and safety assessment of a complex system: https://cloudgravity.github.io/files/jobs/ceres-lot1_phd.pdf
- Digital twin for the security of technical building management: https://cloudgravity.github.io/files/jobs/ceres-lot2_phd.pdf
We also offer a platform engineer position: https://cloudgravity.github.io/files/jobs/ingenieur_pf-ceres_fr.pdf
The subjects and the application procedure are detailed in the links above. The theses will start no earlier than October 2021.
Regards, Gregory Blanc
Telecom SudParis Polytechnic Institute of Paris
Hello, I take the liberty of contacting you regarding the publication of a CDD position for Research Engineer in IA at CEA List.
This offer has already been posted on your platform at the beginning of April - 1 position has been filled and we are still looking for a second candidate.
Also, would it be possible to republish this offer on your platform?
Thanking you in advance
Best regards Guillaume GALLOU
Guillaume GALLOU - PhD Manufacturing & Agri / Agro Programs Manager
AI, Language and Vision Service
Ambient Intelligence and Interactive Systems Department
Atomic Energy and Alternative Energies Commission
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