RESEARCHER ON EFFICIENT LARGE MULTIMODAL MODELS FOR MULTILINGUAL SPEECH PROCESSING

The Augmented Intelligence Center is a newly established FBK center aiming to bring together a plurality of scientific areas already present in FBK to open up a new frontier of research in the field of Augmented Intelligence.
The key research lines in Augmented Intelligence encompass.
Foundational Artificial Intelligence; Human-Artificial Intelligence Interaction; Cooperative and Social Artificial Intelligence; Proactive ethical Artificial Intelligence.
The FBK Research Center in Augmented Intelligence encompasses FBK research groups working in machine learning, natural language processing, dialogue technologies, speech recognition, human-computer interaction, computer vision, multi-modal perception, neuro-symbolic techniques, data and knowledge representation and reasoning, data and process intelligence, neuroinformatics, cooperative and social Artificial Intelligence.
The Center benefits from the expertise and scientific excellence of approximately 80 researchers and developers, including senior researchers, emerging talents, and doctoral students affiliated with these FBK research groups.
The SpeechTek Lab at Fondazione Bruno Kessler investigates AI-based solutions for speech technologies, addressing a variety of speech related tasks.
automatic speech recognition (ASR), speech enhancement and separation, spoken language understanding, speaker identification, automatic language learning and other speech and audio applications.
The group is particularly interested in the application of AI topical research directions to the speech context, such as.
continual learning, large-scale models, self-supervised adaptation, edge processing.
These are key features towards an effective and efficient deployment of speech technologies in real-life conditions and are being investigated also in multi-modal (audio-visual) scenarios.
Finally, the group has also a long-lasting experience in customization of ASR services.
FBK actively seeks diversity and inclusion in the workplace and is also committed to promoting gender equality.
Job Description The Speech Technology Lab is looking for a researcher who will investigate novel solutions for multilingual speech recognition (and processing in general) leveraging large multimodal foundation models, within the framework of two Horizon Europe projects.
Eloquence (eloquenceai.
u) and Meetween (meetween.
u).
The selected candidate will in particular target novel solutions which are efficient in terms of data and computational resources, suitable for low-resourced settings and compliant with European values in terms of bias, ethics and privacy.
The candidate is expected to advance the state-of-the-art in the field and disseminate the results to top international conferences and journals of the speech processing and artificial intelligence communities.
Job requirements The ideal candidate should have.
Master degree in data science, computer science, engineering or related fields - the degree must be obtained by the start date of the FBK contract; Experience in AI solutions for speech recognition and speech processing.
Familiarity with most models and neural architectures for speech and audio processing; Fluent in Python and in the ML packages and modules; Excellent publication record in relevant international conferences and journals; Good communication and relational skills; Self-motivation and result orientation; Oral and written proficiency in English.
Additional requirements.
PhD degree (or 3 years of equivalent experience) in fields related to this call; Previous experience in supervising interns, master students and PhD students; Capability of leading and coordinating the group activities in European projects.
Employment.
Type of contract.
fixed-term contract Working hours.
full-time (38 h per week) Gross annual salary.
about € depending on background and expertise in the field.
Start date.
preferably by September Duration.
36 months Workplace.
Trento, Povo (Italy) Benefits.
flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation etc., supplementary pension and health fund, training courses, public transport, sports facilities, language courses fees.
Further details at https://www.
elfarefbk.
nfo/.
Application.
Interested candidates are requested to submit their application by completing the online form (https://jobs.
bk.
u/).
Please make sure that your application contains the following attachments (in pdf format).
detailed CV (including list of publications, statement of research interest and the name of two referees); cover Letter (explaining your motivation for this specific position).
Application deadline.
June Please read our Recruitment Regulations before completing your application.
For further information, please contact the Human Resources Services at .