A Researcher in Computer Vision for the Center Augmented Intelligence

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 center, of which there are twelve totals.
Information regarding the research centers, their activities and production is available at .
Workplace 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 Deep Visual Learning group (DVL) conducts research in the areas of deep learning and computer vision.
Our work focuses on developing novel methodologies for learning models to automatically analyze images and videos.
We are especially interested in developing deep models which successfully adapt and continually learn from real-world visual data.
Recent projects include object recognition and detection, pixel-level prediction tasks (e. g. depth estimation from monocular input, semantic segmentation) and human behaviour analysis and synthesis.
FBK actively seeks diversity and inclusion in the workplace and is also committed to promoting gender equality.
To promote the inclusion of disabled staff as per law 68/99, the Foundation is available and interested in evaluating the applications received for technical-scientific domains that do not correspond exactly to this call.
Job Description FBK-DVL is seeking a Researcher in the field of computer vision to develop decentralised approaches for computer vision tasks.
In particular, the successful candidate will be involved in a European research project that aims to combine emerging technologies in the domains of Swarm computing, distributed AI, distributed ledger systems, and decentralised identity management to create a completely decentralised, autonomous, and self-organised application management system.
This system will enable the processing of large amounts of data generated at the network edges with the help of hyper-distributed and complex applications in the Cloud-to- Edge continuum.
The successful candidate is expected to conduct research activities in the area of computer vision, primarily on topics regarding distributed and multi-modal representation learning.
Specifically, the candidate will develop methods to adapt deep learning models to custom target tasks with minimum training effort by exploiting multimodal foundation models.
The candidate will collaborate with other researchers within the Centre, as well as with partners involved in the project. Job requirements The ideal candidate should have: Master’s degree Computer Science or related fields ( Engineering, Applied Math, Physics, Data Science, …); Previous experience in Computer Vision and Deep Learning; Software development skills (preferably in Python); Good knowledge and proficiency of the English language; Team working attitude; Good communication and relation skills; Autonomy in developing research and organizing work activities. Other appreciated expertises: Publications in top-level venues in computer vision and machine learning; Expertise in research in the context of national and European projects. Employment Type of contract: fixed-term contract Working hours: Full time (38 h per week) Start date: Indicatively May 2025 Duration: 6 months Workplace: Povo, Trento.
Gross annual salary: about € 38. 500 Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities and for research in accommodation, accommodation etc. , supplementary pension and health fund, social security (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 Application Interested candidates are requested to submit their application by completing the online form ().
Please make sure that your application contains the following attachments (in pdf format): Detailed CV including relevant past experiences (as an attached document in PDF format); Cover Letter (explaining your motivation for this specific position). Application deadline: 08/04/2025 Please read our Recruitment Regulations before completing your application.
For further information or technical issues regarding the application, please contact the People Innovation for Research Services at jobs@fbk. eu.
Candidates who pass the preliminary curricula screening will be contacted shortly afterwards for an interview.
Non selected applicants will be notified of their exclusion at the end of the selection process.
Please note that FBK may contact shortlisted candidates within a period of 12 months, for the selection processes of similar vacancies.
For reasons of professional transparency, the name of the successful candidate will be published on the FBK website following acceptance of the position, as well the list of suitable candidates