FBK is looking for a Researcher on resource-aware and dynamic neural architectures for speech a[]

Fondazione Bruno Kessler (FBK) is a private research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a specific research Centre, of which there are twelve totals. Information regarding the research Centres, their activities and production are available at http://www.fbk.eu/research-centers . Workplace Description 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. Background information and description of research projects This position is offered within the project IPCEI Next Generation Cloud Infrastructure and Services (CIS): 8ra and the FBK CAITE project. The 8ra Initiative is a strategic European endeavour dedicated to create a resilient and scalable digital infrastructure tailored to Europe’s needs. At its core is the Important Project of Common European Interest on Next Generation Cloud Infrastructure and Services (IPCEI-CIS ), bringing together 12 EU member states and about 120 industrial and research partners to drive Europe’s digital sovereignty. The main goal of IPCEI-CIS is to establish a "Multi-Provider Cloud-Edge Continuum" that operates independently of any single provider. This continuum embodies the seamless fusion of cloud and edge computing, enabling the flexible allocation of resources and applications between the cloud and the network edge. In 8RA, FBK is responsible for the project Cybersecurity & AI at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational environments and capabilities. Second, the project emphasises the creation of security, privacy-enhancing, and trust-aware services to ensure resilience and compliance in distributed AI-enabled applications. Three research centers of FBK cooperate and develop CAITE: the Augmented Intelligence Center , the Center for Cybersecurity , and the Digital Society Center . Job Description The SpeechTek Lab is looking to hire a Researcher on novel solutions for efficient and dynamic neural architectures for speech and audio processing. The candidate will develop advanced scalable, adaptive AI techniques, focusing on resource efficiency and awareness. Towards this goal, the selected candidate will explore architectures and learning paradigms which are efficient in terms of data, energy and resources and are adaptable to the varying operational conditions. Priority will be given to speech processing tasks (ASR) and related models, but a broad range of applications can be considered. The successful candidate will contribute to the following tasks: advancing the state-of-the-art in the field; disseminating the results to top international conferences and journals of the speech processing and artificial intelligence communities; following and supporting the coordination and collaboration with the other partners. Depending on organizational needs, the selected candidate may also be involved in additional activities or projects within the Centre. Job requirements The ideal candidate must have the following requirements: Master’s 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 (pytorch); Publication track record in areas related to scientific domain; Language assessment according to the Common European Framework of Reference for Languages (CEFR): level of knowledge required. Knowledge of English will be verified during the interview on a technical or scientific topic and must be equal to or exceed level B2. Definitions of levels can be found at the following link https://www.coe.int/en/web/common-european-framework-reference-languages/level-descriptions ; Teamwork approach, good communication and relational skills; Strong orientation to results, determination, flexibility and aptitude for problem-solving. Furthermore, the following elements will be positively evaluated: Phd in fields related to this call (computer science, engineering, data science,); Previous experience in supervising interns, master students and PhD students; Capability of leading and coordinating the group activities in European projects; Knowledge of both written and spoken Italian. Employment Type of contract : fixed-term contract Working hours: full time ( 38 hours per week) Start date : November 2025 Duration: 36 months Contract type : CCPL Research Foundation Personnel ( https://trasparenza.fbk.eu/ita/Personale/Contrattazione-collettiva/Rinnovo-CCPL-delle-Fondazioni ) current gross annual remuneration is between Euro 38.539,67 and 44.087,26, depending on knowledge and expertise, and corresponding to a Fourth or Third level Researcher Workplace : Povo, Trento (Italy) Benefits : flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities and for research in accommodation, supplementary pension ( Resaver , Laborfonds ) and health fund ( Sanifonds ), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees, counseling and psychological support service. More info at https://www.fbk.eu/en/work-with-us/ Application Interested candidates are requested to submit their application by completing the online form ( https://jobs.fbk.eu/ ). Please make sure that your application contains the following attachments (in pdf format): detailed CV; cover letter indicating why the candidate is suitable for this position. Application deadline: 28/08/2025 J-18808-Ljbffr

Location: Trento, Trentino-Alto Adige, IT

Posted Date: 9/17/2025