Hello,
we have a position available for a 1 year postdoc at Université
Paris-Saclay to work on neural architectures for natural language
processing, see below.
If interested, contact us be e-mail:
- Caio Corro caio....@limsi.fr
- Nadi Tomeh to...@lipn.fr
Best,
Caio
Postdoctoral researcher in Machine Learning and Natural
Language Processing
Mission
The postdoc will be part of the TLP team of the
\textit{Laboratoire Interdisciplinaire des Sciences du Numérique}
(LISN, formerly LIMSI) located at the University of Paris-Saclay
and will be supervised by Caio Corro (TLP, LISN) and Nadi Tomeh
(RCLN, Laboratoire Informatique de Paris Nord). The recruted
postdoc will be in charge of designing neural architectures for
natural language processing. In particular, we will be interested
in modeling robustness to certain linguistic phenomena such as
reordering.
Activities
- Study previous work on neural architectures motivated by expert
knowledge, see for example "Group Equivariant Convolutional
Networks" (Cohen, Welling)
- Propose new neural architectures motivated by language syntax in
monolingual and multilingual settings
- Evaluate the proposed neural architectures on syntactic and/or
semantic analysis tasks
- Participate in the supervision of two Master internships on the
project's theme
The postdoc will be encouraged to publish in top-ranked
conferences (NeurIPS/ICML/ICLR and *ACL/EMNLP).
Skills
The candidate should have a PhD in machine learning and/or natural
language processing. He/she should have a very good understanding
of modern neural architectures commonly used in NLP (LSTM,
attentional networks/transformers) and should show an interest in
syntax and language typology.
The candidate is expected to have good writing and communication
skills in English.
Work context
The work will be carried out in the TLP team of LISN, located in
the south of Paris, in collaboration with the RCLN team of LIPN
(Northern Paris Computer Science Lab).
The LISN hosts two teams specialized in NLP including different
modalities (written languages, spoken languages and sign
languages) in a multidisciplinary approach (i.e. researchers in
computer science and linguistics). In particular, part of the TLP
team in which the candidate will work is specialized in machine
learning, machine translation and syntactic analysis.
The candidate will also be an associate member of LIPN and will
join the RCLN team, a member of the laboratory of excellence
network EFL (Empirical Foundations of Linguistics). The research
themes of RCLN are organized around syntactic and semantic
analysis, but also annotation and knowledge acquisition from
texts.
The researcher will benefit from an environment adapted to the
pursuit of his research (equipment and access to several computing
clusters). In particular, the team has access to a very large
number of NVidia V100 GPUs via the Jean-Zay supercomputer.