Opportunities (all announcements): Difference between revisions

Revision as of 21:10, 23 February 2015

Thinking about Joining Us?

INESC ID is one of the largest and most dynamic research institutes in Portugal in the areas of telecommunications, information systems and electronics with the status of associated laboratory given by the Portuguese government. The Laboratorio de Lengua Falada (L2F), or Spoken Language Systems Lab in English, provides an interdisciplinary and creative work environment active in multiple areas of speech and language research. This include

speech enhancement, recognition, synthesis and understanding, speech to speech translation

speaker, language and dialect identification, computational paralinguistics

music genre classification, audio finger-printing and retrieval, multi-document summarization of multimedia (audio + video + text)

machine translation, summarization, sentiment analysis

natural language generation, syntactic and semantic processing, named entity retrieval

multimodal dialogue systems, question answering,

Have a look at our recent projects and demos.

L2F has its own powerful IT infrastructure within INESC-ID including

Robust and fast shared filesystems for storage and processing of very large data-sets

A computer cluster with Hadoop and condor among other parallel computing utilities

Dedicated computing units with GPUs and intel-phi CPUs

VPN, ssh as well as hosting for CVS, SVN and Git repositories.

This infrastructure also provides online services to various academic and private sector partners. We also share resources with our spin-off VoiceInteraction and cooperate with well established industrial partners such as Microsoft as well as startups such as Unbabel.

Finally, it is also worth mentioning that Lisbon offers a high quality of life while being one of the least expensive capitals in Europe, test it yourself here.

Want to joint us?. Have a look at the opportunities below. If there aren't any at the time, feel also free to send us an email to find out about potential openings or partnerships.

Ph.D. Program CMU-Portugal

Ph.D. Program Carnegie Mellon-Portugal in the area of Language and Information Technologies

Post-Doc Fellowship in Project INSIDE

This is a 3 year position, starting in April 2015.

INSIDE is a joint research project involving Portuguese academic/industrial partners and the Carnegie Mellon University. The project explores symbiotic child-robot interactions in joint cooperative activities, with application to the treatment of children with Autism Spectrum Disorder impairments.

Your role would be related to speech processing in environmentally challenging conditions and with limited adaptation data available. Research will be focused on static and dynamic adaptation of models starting from our current research on deep learning and observation uncertainty techniques.

We are looking for candidates with following experience:

Robust ASR/KWS
Neural networks
Python, bash scripting and C/C++

Additional experience welcome

Computational Paralinguistics
Python-theano
Knowledge of the Portuguese language
Missing features / Observation uncertainty

If interested, send a curriculum vitae (highlighting publications relevant to the position) and a motivation letter to ramon.astudillo@l2f.inesc-id.pt before March 15.

Opportunities for Final Year Students

(currently closed)

Other Information

A complete list of calls posted on INESC ID's website, with both open and closed calls.
Older Calls

@@ Line 46: / Line 46: @@
 This is a 3 year position, starting in April 2015.
-INSIDE is a joint research project involving Portuguese academic/industrial partners and Carnegie Mellon University. The project explores symbiotic child-robot interactions in joint cooperative activities, with application to the treatment of children with Autism Spectrum Disorder impairments.
+INSIDE is a joint research project involving Portuguese academic/industrial partners and the Carnegie Mellon University. The project explores symbiotic child-robot interactions in joint cooperative activities, with application to the treatment of children with Autism Spectrum Disorder impairments.
 Your role would be related to speech processing in environmentally challenging conditions and with limited adaptation data available. Research will be focused on static and dynamic adaptation of models starting from our current research on deep learning and observation uncertainty techniques.