The Adaptive Multimodal Information and  Interfaces  Research Lab at University of Trento (Italy) has openings in the following areas:

PHD RESEARCH FELLOWSHIPS RESEARCH INTERNSHIPS

Topic areas:  Automatic Speech Recognition, Spoken Language Understanding, Dialogue Modeling, Machine Learning

The Research Lab:  The Adaptive Multimodal Information and Interface

(AMI2) research lab pursues excellence research in next-generation interfaces for human-machine and human-human communication. The Ph.D.research fellowships are funded by the prestigious Marie Curie Excellence grant awarded by the European Commission for  cutting edge and interdisciplinary research. There have been many advances in the field of speech recognition and text-to-speech synthesis in the last decade. However, human-machine conversational system are still severely limited in the ability to understand and interact. The general research challenge of the project is to investigate innovative multimodal interfaces that will be adaptive, affective, usable and knowledgeable.

The Adaptive Multimodal Information and Interface (AMI2) research lab pursues excellence research in next-generation interfaces for human-machine and human-human communication. The AMI2 lab has a state-of-the-art technology infrastructure and collaborations with premiere international research centers and industry research labs.

The Ph.D. Researchers:   The Ph.D. researchers should have a background (Laurea, MA or equivalent) in speech/text processing, machine learning, computational linguistics, computer science or cognitive science, and strong academic records. The Ph.D. positions are funded for 3 years.  The Ph.D. students will be able to participate in the international Ph.D. program of the ICT Department (http://ict.unitn.it/). The  applicants should be fluent in English.

The Italian language competence is optional and applicants are encouraged to acquire this skill during their Ph.D. studies. The applicants should have good programming skills in conventional programming languages (C++/Java//Perl/Python) and experience in rule-based, logic or functional programming.

The University of Trento is an equal opportunity employer. Interested applicants should submit their CV along with their statement of research interest and reference letters before June 30, 2007.

Applications for research internships are possible at any time. It is recommended to contact us (Email: amii@dit.unitn.it) before submitting a formal application:

Prof. Ing. Giuseppe Riccardi         Dr. Sebastian Varges

http://www.dit.unitn.it/~riccardi    http://www.dit.unitn.it/~varges

About University of Trento and Information and Communication Technology Department

The University of Trento is constantly ranked as premiere Italian graduate university institution (see http://www.dit.unitn.it). The DIT Department 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. DIT aims at exploiting the complementary experiences present in the various research areas in order to develop innovative methods and technologies, applications and advanced services. English is the official language.

The International Computer Science Institute (ICSI) invites applications for a postdoctoral Fellow position in speech processing. The Fellow will be working in the area of automatic speaker recognition using multiple high-level information sources. Strong capabilities in speech processing and machine learning are desirable.

ICSI is an independent not-for-profit Institute located a few blocks from the Berkeley campus of the University of California. It is closely affiliated with the University, and particularly with the Electrical Engineering and Computer Science (EECS) Department. It has world-class activities in Internet research, natural language processing, bioinformatics, and speech processing. See http://www.icsi.berkeley.edu to learn more about ICSI.

The ICSI Speech Group (including its predecessor, the ICSI Realization Group) has been a source of novel approaches to speech processing since 1988. It is primarily known for its work in speech recognition, although it has housed major projects in speaker recognition and metadata extraction in the last few years. The new effort will draw upon lessons learned in our feature extraction work for speech recognition.

Applications should include a cover letter, vita, and the names of at least 3 references (with both postal and email addresses). Applications should be sent by email to morgan@icsi.berkeley.edu or by postal mail to

Director (re Speaker Recognition Postdoctoral Search) ICSI
1947 Center Street
Berkeley, CA 94704

ICSI is an Affirmative Action/Equal Opportunity Employer. Applications from women and minorities are especially encouraged.

For this position, US citizenship is required.

Visiting Professor/Researcher positions at UNITN

At the Adaptive Multimodal Information and Interfaces Lab (University of Trento), we invite applications for visiting senior professors/scientists at University of Trento (Italy) with outstanding research track records.

The topics of the research we solicit are in the areas of speech, language, conversational systems, human-computer interaction.

To know more our research projects please visit the lab websites AMI2  and CIMEC.

For more information please contact: 

Prof. Ing. Giuseppe Riccardi
Department of Information and Communication Technology
University of Trento
email: riccardi@dit.unitn.it

AT&T - Labs Research: Research Staff Positions - Florham Park, NJ

AT&T - Labs Research is seeking exceptional candidates for Research Staff positions. AT&T is the premiere broadband, IP and wireless communications company in the U.S. and one of the largest in the world. Our researchers are dedicated to solving real problems in speech and language processing, and are involved in inventing, creating and deploying innovative services. We also explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at all levels of experience are encouraged to apply. Candidates must demonstrate excellence in research, a collaborative spirit and strong communication and software skills. Areas of particular interest are

• Large-vocabulary automatic speech recognition

• Robust speech recognition

• Speaker recognition

• Speech data mining

• Natural language understanding and dialog

• Text and web mining

AT&T Companies are Equal Opportunity Employers. All qualified candidates will receive full and fair consideration for employment. More information and application instructions are available on our website at http://www.research.att.com. Click on "Join us". For more information, contact Mazin Gilbert (mazin at research dot att dot com).

Li Creative Technologies: Various Speech and DSP Positions - Florham Park, NJ

Li Creative Technologies (LcT), Inc. located in Florham Park, NJ, USA, is looking for self-motivated employees in the
following areas. We offer compatible salaries, 401K, medical insurance, and other benefits to regular employees.
Applicants must have U.S. working permits. U.S. citizens or permanent residents preferred.

Senior Research Scientist: Ph.D. or M.S. in CS or EE with at least two years experience in speech recognition software development. Must be able to develop real-time speech decoder and pattern recognition software independently. Strong programming skills in C/C++ and Matlab.

Research Scientist: M.S. in CS or EE with strong programming skills in C/C++ and Window CE. Must be able to set up
speech demos and prototype in a short time. Must be able to write speech recognition or speaker recognition software
and implement algorithms as real-time code.

Research Engineer: M.S. in EE or CS with research experience in echo cancellation or VoIP. Must have strong
programming skills in C/C++, Matlab, and DSP. Must be able to implement DSP algorithms into portable devices for
real-time processing.

Summer Interns: Ph.D. or M.S. students with experience in any one of above areas.  Must have good programming
skills in C/++, DSP, or Matlab. Experience in audio and speech signal processing or speech/speaker recognition
is a plus. Foreign graduate students must have CPT, OPT, or U.S. working permits.

Interested applicants, e-mail your resume to admin@licreativetech.com. Please put job title as your email subject.