Bruno Kessler Foundation (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 eleven totals. Information regarding the research centres, their activities and production is available at http://www.fbk.eu/research-centers.
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 Data and Knowledge Management (DKM) research unit is part of the Centre for Augmented Intelligence at FBK. The unit has a long-standing tradition in knowledge representation and reasoning, data management, and the semantic web. Over the past 15 years, the unit has also become actively involved in research on integrating machine learning with symbolic reasoning within neuro-symbolic architectures s, learning world action models, planning for learning, and Embodied AI.
Job Description
The purpose of FBK’s Tenure Track program is to offer high-level professionals the opportunity to pursue a structured career path to become tenured researchers contributing to the organization's long-term strategy. Within this framework, FBK is looking to cover the position with a dynamic, highly motivated, independent; the candidate will work within the DKM research unit, reporting directly to the head of the research unit. The successful candidate will be involved in European and national research projects focused on integrating machine learning, automated reasoning, and planning to build AI autonomous agents capable of operating in open-ended environments. The candidate is expected to contribute proactively and autonomously to the research unit, the center, and the whole FBK, in close coordination with the head of the unit.
The main research areas include:
- neuro-symbolic integration,
- integration of automated planning and machine learning,
- integration of statistical and logical reasoning.
- world-model self-supervised learning.
Application areas include embodied AI, cognitive robotics, and augmented intelligence. In addition, the candidate is expected to contribute to the supervision and co-supervision of master’s students, PhD students, and interns. FBK actively seeks diversity and inclusion in the workplace and is also committed to promoting gender equality.
Job requirements
- PhD in one of the following areas: Computer Science, Artificial Intelligence, Mathematics, Computer Engineering, Physics
- Research experience in the areas or areas related those indicated in the job description
- A relevant record of publications in high-impact journals and top-level conference
- AI Programming skills
- Good knowledge and proficiency in the English language (spoken and written)
Additional requirements
- Excellent verbal and written communication skills;
- Good team working attitude;
- Good self-organization and autonomous operation.
Employment
Type of contract: Tenure Track position leading to an FBK 3nd Level Researcher (R3) permanent contract.
Duration: The duration of the Tenure Track contract will be determined by the Committee based on the assigned KPIs (at least one year, which may be reduced in accordance with the Committee assessment on the candidate's abilities and skills). If the final assessment of the Tenure Track experience is positive, the selected candidate for the tenure track position will be offered a permanent R3 contract.
Working hours: full time (38 h per week).
Gross annual salary: 44.000 € (plus objectives achievement bonus).
Start date: January 2026
Workplace: Povo, Trento (Italy).
Benefits: flexi-time, company subsidised cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, supplementary pension and health found, training courses, public transport, sports facilities, language courses fees. Further details at https://www.fbk.eu/en/work-with-us/.
The Bruno Kessler Foundation invests in people’s growth and promotes a stimulating environment that values talent. Through the Talent Development Program, each participant will be engaged in a tailored experiential journey designed to enhance skills, attitudes, and aspirations. Concrete tools for professional growth will be available, including personalized assessments to understand and develop individual potential, structured career paths to help shape the future, and development strategies within a dynamic and innovative scientific environment.
Application
Interested candidates are requested to submit their application by completing the online form (https://jobs.fbk.eu/).
Application deadline: 22nd of September 2025
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