For more information, see: https://members.loria.fr/CGardent/explainable-nlg.pdf https://nl4xai.eu/ Estimated Starting Date: April 1, 2020 Deadline for Applications: February 14, 2020, at 23h59 CET (UCT + 01:00)
The EU funded NL4XAI Innovative Training Network is looking to employ a
Research Associate / PhD Candidate in Deep Learning and Natural Language Generation
The researcher will work under the supervision of Claire Gardent (https://members.loria.fr/CGardent/) at CNRS/LORIA/Lorraine University, Nancy (France) and be co-supervised by Albert Gatt (University of Malta); he or she will be expected to enrol for a PhD at Lorraine University (Nancy, France). Both Claire Gardent and Albert Gatt are leading experts on NLG. The researcher will be part of the Lorraine computer science research unit (LORIA) at Nancy, and work alongside other students and researchers who work on models for Natural Language Generation from text, data and/or meaning representations. S/he will also benefit from the wider training and research network provided by the European NL4XAI Innovative Training Network (https://nl4xai.eu/).
During the course of the project, the researcher will carry out two 3 months-secondments to the University of Malta (with Albert Gatt) and one 3-months secondment to Orange in Lanion, France (with Lina Rohas-Barahona).
Claire Gardent has just been awarded an AI chair which focuses on multilingual and, multisource NLG and will fund an additional 3 PhD students and an engineer over a period of 4 years (2020-2024). She also participates in the ANR Quantum Project on Question Generation (2019 – 2023) and heads the CNRS Research Network on Computational, Formal and Field Linguistics (2019 - 2023).
This is a great opportunity to join a leading NLG research group and work with top researchers to develop innovative techniques for NLG and explainable AI!
The NL4XAI project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860621.
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