One postdoc position (1+2 years) 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 ELEXIS (2018-2022), a new European
infrastructure for electronic lexicography, and MOUSSE
(2017-2022), 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/~navigli/>, 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/~navigli/pubs.html> in the field of
computational linguistics and artificial intelligence.
Collaborators in the research group also 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 20 developers and researchers currently work in the company.
The successful candidate will work actively on novel directions in deep
learning and neural networks for multilingual disambiguation and semantic
parsing in arbitrary languages, and will co-supervise Ph.D. students in the
group on the topic. The candidate will innovate the field while at the same
time taking advantage of successful approaches and resources for
multilingual lexical semantics such as BabelNet
(winner of the 2017 Artificial Intelligence prominent paper award and
featured in The Guardian
and Time magazine
the Multilingual Wikipedia Bitaxonomy ,
sense-based embedded representations (SensEmbed
<http://lcl.uniroma1.it/sensembed>), and sense-based lexical, semantic and
embedded vectors (NASARI <http://lcl.uniroma1.it/nasari>), state-of-the-art
neural Word Sense Disambiguation
and train-o-matic .
The candidate is expected to have:
* a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP,
Mathematics or related fields.
* Good programming skills in Python.
* Knowledge of current neural network models, especially recurrent neural
networks such as LSTMs, and tools for neural networks (e.g. Tensorflow,
Keras, PyTorch, etc.).
* Publications in top-tier venues in the field of Computational Linguistics.
* Experience in Ph.D. student supervision is a plus.
* Fluent English. Knowledge of other languages (especially Asian languages) is more than welcome. Knowledge of Italian is NOT a requirement.
About Università degli Studi di Roma 'La Sapienza'
Sapienza University of Rome was founded in 1303 by Pope Boniface VIII, it is the first University in Rome and the largest University in Europe: a city within a city, with over 700 years of history, 145,000 students, over 4,500 professors and almost 5,000 people are administrative and technical staff.
Sapienza’s Governance is composed of an internal body: a Vice Rector and a group of Deputy Rectors, charged of specific activities, support the Rector in the management of the University, thanks also the cooperation of ad hoc committees.
Sapienza has a wide academic offer which includes over 300 degree programmes and 250 one or two year professional courses. Sapienza has 116 libraries and 21 museums as well as efficient student services such as Ciao (Information, welcoming and counselling centre), SoRT (Counselling and tutorship services) and assistance for disabled students.
Concerning with students’ origin, over 30,000 of them come from all parts of Italy; over 7,000 people come from abroad. Incoming an