Job: Deep Learning and NLP, Nancy (France)

                 [Apologies for cross-postings]

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    Research Associate / Programmer
    Deep Learning experience required
    Natural Language Processing a plus
    Starting date: As soon as possible
    Employer and Location: LORIA UMR CNRS - Nancy, France
    Duration: 6-8 months (extension may be possible)
    Deadline for Application: Open until filled
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The SYNALP [1] Research Group in Computational Linguistics has an open position for a research associate / Programmer starting as soon as possible.

The position is supported by the French National Research Agengy (ANR) and available in the WebNLG project [2]. It aims at developing deep learning approaches for text generation, text simplification, text understanding and text compression. The candidate will work in close interaction with the WebNLG project members (Claire Gardent, Alejandra Lorenzo, Anastasia Shimorina, Yannick Parmentier and Emilie Colin), using the WebNLG and the WebSplit data and experimenting with deep learning approaches such as convolutional networks, seq2seq models, deep reinforcement learning, multi-task, one-shot and transfer learning.

Prerequisite is a PhD degree or a Master in computer science, computational linguistics or a related field. Candidates are expected to have solid programming skills and experience with deep learning. Prior experience in natural language processing is a plus. Knowledge of French is **not** a requirement.

The monthly gross salary will be 2,000-3,000 (EUR) depending on qualifications. If appropriate, participation in conferences will be supported.

Please send applications (a single PDF file containing a motivation letter and a CV) by email to Claire Gardent [3] (claire.gardent@loria.fr).  Applications received by January 20, 2018 will receive full consideration.  The position is open until filled and will start as soon as possible.

[1] http://synalp.loria.fr/
[2] http://webnlg.loria.fr/pages/index.html
[3] https://members.loria.fr/CGardent/

Received on Tuesday, 2 January 2018 14:39:20 UTC