Postdoc- MT/Social Computing (CLOSED)
The Signals and Interactive Systems Lab ( https://sisl.disi.unitn.it )
is looking for top-candidates to fill a postdoc position at University
of Trento (Italy).
Candidates with significant research experience in Statistical Machine
Translation and at least one of the following topics are invited two apply:
- Spoken Dialog Systems
- Machine Learning
- Social Computing
The candidate will work with SIS lab members and European partners on
the PORTDIAL project addressing multilingual portability of spoken
conversational systems via machine translation and social computing.
The SIS Lab research is driven by interdisciplinary approach to the
analysis and interpretation of diverse signals ( e.g. speech, text,
biosignals, multimodal ) to support human-human and human-machine
interactive systems. The SIS Lab has state-of-the-art technology
infrastructure and collaborations with premiere national, international
research centers and industry research labs.
For more info SIS lab’s research projects
visit the lab website: https://sisl.disi.unitn.it.
The official language of the Department and the lab is English.
Postdoc salary are in the range of 30K-50K/year (gross) depending on
background and experience.
Research fellowship salaries may benefit from tax exemptions.
Open until filled , 2012
HOW TO APPLY:
All applicants should have good very programming and math skills and used to project team work. Interested applicants should send their
1) CV along with
2) their transcripts
3) have three reference letters sent to:
Prof. Dr.-Ing. Giuseppe Riccardi
For more info:
Lab web page: https://sisl.disi.unitn.itt/
Department : https://disi.unitn.it/
Local Information: https://international.unitn.it/welcome-services/cost-living
University of Trento
The University of Trento (ww.unitn.it) is constantly ranked as premiere Italian
graduate university institution.
University of Trento is an equal opportunity employer.
Information Engineering and Computer Science Department (DISI)
DISI has a strong focus on Interdisciplinarity with professors
from different faculties of the University (Physical Science,
Electrical Engineering, Economics, Social Science, Cognitive Science,
Computer Science) with international background. DISI aims at
exploiting the complementary experiences present in the various
research areas in order to develop innovative methods and technologies,
applications and advanced services.