One pre-Ph.D. research position (with the possibility of starting a Ph.D.
in 2018 on the same salary with a privileged track) in Natural Language
Processing is open in the Linguistic Computing Laboratory (
http://lcl.uniroma1.it), Department of Computer Science of the Sapienza
University of Rome.
The position is part of a new 5-year ERC Consolidar Grant funded by the
European Research Council (ERC) and headed by prof. Roberto Navigli
<http://wwwusers.di.uniroma1.it/%7Enavigli/>, following the success of his
MultiJEDI ERC Starting Grant (http://multijedi.org). The successful
candidate will participate in a frontier research project aimed at
designing and investigating novel neural network architectures for
multilingual disambiguation and semantic parsing and will work in the
vibrant environment of a leading and highly-active international research
team comprising 3 faculty members, 1 post-doc and 6 Ph.D. students. The
group has published dozens of papers in top-tier venues
<http://wwwusers.di.uniroma1.it/%7Enavigli/pubs.html> in the field of
computational linguistics and artificial intelligence.
Interested students and collaborators in the research group have the option
to interact with Babelscape , a Sapienza startup
company founded by prof. Navigli which brings research in multilingual
Natural Language Processing to the market and makes research projects, such
as the award-winning BabelNet , sustainable in the
long term. Babelscape is currently working for key players in different
fields, including multinational companies, and national and international
public bodies. Around 15 developers and researchers are working in the
Sapienza University of Rome
The successful candidate will work actively on new directions in deep
learning and neural networks for multilingual lexical semantic tasks such
as Word Sense Disambiguation, Entity Linking and semantic parsing in
arbitrary languages, starting from successful approaches and resources for
multilingual lexical semantics such as BabelNet
(winner of the 2017 Artificial Intelligence prominent paper award),
Wikipedia Bitaxonomy , SensEmbed
<http://lcl.uniroma1.it/sensembed>, NASARI <http://lcl.uniroma1.it/nasari>
explicit and embedded vectors, state-of-the-art neural Word Sense
and train-o-matic .
The candidate is expected to have:
* a M.Sc. or equivalent in Computer Science, Computational Linguistics/NLP,
Mathematics or related fields.
* Good programming skills in Python and/or Java (there is the option to
attend a Python/Java course at Sapienza on the first contract year).
* Knowledge of current neural network models, especially recurrent neural
networks such as LSTMs, and tools for neural networks (e.g. Tensorflow,
Keras, Torch, Theano, etc.) is a plus.
* Publications in Computational Linguistics, participation in summer
schools and other experiences are a plus.
* Fluent English. Knowledge of other languages (especially Asian languages)
is more than welcome. Knowledge of Italian is NOT a requirement.
* Application deadline: early *October 2017*
* Interviews will take place via Skype around the end of October/beginning
* Starting date: as early as possible, ideally on December 1st, 2017
* Duration: 1+3 years
About University of Rome "La Sapienza"
Con oltre 700 anni di storia e 145mila studenti, la Sapienza è la prima università in Europa e la seconda al mondo dopo Il Cairo. All'interno dell'Ateneo sono presenti 23 facoltà. I docenti sono oltre 4.500, i tecnici e gli amministrativi circa 5.000. L’offerta formativa della Sapienza comprende oltre 370 corsi di laurea e 300 master. Tra i servizi a disposizione vi sono 155 biblioteche, 21 musei, gli sportelli di orientamento Ciao e Sort, lo sportello per i diritti delle persone disabili.
Della platea studentesca fanno parte oltre 30mila fuorisede, più di 5.000 iscritti di nazionalità non italiana e circa 800 studenti Erasmus all’anno. L’orientamento in entrata, il placement in uscita e l’informatizzazione sono l’orizzonte strategico in tema di servizi.
La Sapienza raggiunge livelli di eccellenza in campi di ricerca quali l’archeologia, la fisica e l’astrofisica, le scienze umanistiche e i beni culturali, l’ambiente, le nanotecnologie, la terapia cellulare e genica, il design, l’aerospazio. Nel 2006, insie