Research Engineer in NLP for crisis management at Toulouse University (France)
The Institut de Recherche en informatique de Toulouse (IRIT-Toulouse University) has a 12 months position offer within the CNRS-INTACT project on using NLP for the detection of urgency from social media content during crises. The project brings together academic from linguistics and computational linguistics as well as expert in crisis management. The offer is detailed below.
Recently, Twitter has been widely used to generate valuable information in crisis situations (ecological crises, sanitary crises, etc.), showing that traditional means of communication between population and rescue departments (e.g., phone calls) are clearly suboptimal (Olteanu et al.,2015). One of the main characteristics of messages posted during crisis events is that both urgent and non urgent messages are drowned in a deluge of off-topic or personal messages that may contain crisis-related keywords. New tools are thus needed to early access useful information that will allow the emergency units to anticipate actions, providing therefore actionable information that will help to set priorities for the human teams and decide appropriate rescue action (McCreadie et al, 2019;Imran et al., 2015).
The position is funded by a CNRS pre-maturation project and groups the Institut de Recherche en Informatique de Toulouse (IRIT-Toulouse University) and Institut Jean Nicod (IJN-Ecole Normale Supérieure). The candidate will also collaborate with researches from the Descartes project (https://www.cnrsatcreate.cnrs.fr/descartes/ <https://www.cnrsatcreate.cnrs.fr/descartes/>), a large France-Singapore project on applying AI to urban systems.
The candidate will be in charge of: (1) Exploring text classification in extremely imbalanced datasets, and (2) Develop an online platform to help rescue teams process messages during crises.
-->Duration of the position: 12 months
--> Salary : 2400 (gross salary)
--> Starting date: April 2022 (negotiable for an early start)
**Ideal Candidate** -->PhD in Computational Linguistics or Master in Computer science
--> A very good experience in deep learning approaches for NLP
**Application** Send your CV together with a list of publications to Farah Benamara (farah.benamara at irit.fr <mailto:farah.benamara at irit.fr>) and Véronique Moriceau (veronique.moriceau at irit.fr <mailto:veronique.moriceau at irit.fr>) before February 15th 2022
Olteanu, A., Vieweg, S., and Castillo, C. (2015). What to Expect When the Unexpected Happens: Social Media Communications Across Crises. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW ’15, pages 994–1009
McCreadie, R., Buntain, C., and Soboroff, I. (2019). TREC incident streams: Finding actionable information on social media. In Zeno Franco, et al., editors, Proceedings of the 16th International Conference onInformation Systems for Crisis Response and Management, Valencia, Spain, May 19-22, 2019. ISCRAM Association.
M. Imran, C. Castillo, F. Diaz, S. Vieweg, Processing Social Media Messages in Mass Emergency: A Survey, ACM Computing Surveys 47 (2015) 67:1–67:38.
-- ======================== Farah Benamara Zitoune Associate Professor HDR, Université Paul Sabatier IRIT-CNRS 118 Route de Narbonne, 31062, Toulouse. Tel : +33 5 61 55 77 06 http://www.irit.fr/~Farah.Benamara ================================== -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 6455 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220116/e0ccb262/attachment.txt>