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. The Foundation’s research activities are structured into twelve research centers, each dedicated to a specific area. Information regarding the research centers, their activities and production is available at http://www.fbk.eu/research-centers.
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 looking for a highly motivated researcher in computer vision to work on the EU-funded TURING project. The successful candidate will contribute to the development of next-generation AI systems capable of modeling complex physical processes through generative and multimodal foundation models.
The research will focus on advancing computer vision techniques for learning structured representations of dynamic systems, integrating visual, physical, and multimodal data. A particular emphasis will be placed on bridging data-driven learning with physical priors, enabling models to generalize across domains while maintaining robustness and accuracy. The candidate will work on designing and training large-scale foundation models that capture the underlying physics of real-world systems, progressively extending them to more complex scenarios.
Job requirements
The ideal candidate should have:
- Phd in Computer Science or related disciplines;
- Previous experience in Computer Vision and Deep Learning;
- Previous experience in training and adapting vision and language models;
- Software development skills (preferably in Python);
- At least three publications in top-level venues in computer vision and machine learning (CVPR, ICCV, ECCV, NeurIPS);
- Good knowledge and proficiency of the English language;
- Autonomy in developing research and organizing work activities;
- Team working attitude;
- Good communication and relation skills.
Furthermore, the following elements will be positively evaluated:
- 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: April 2026
Duration: 36 months
Workplace: Povo, Trento.
Gross annual salary: about € 44.500, plus objectives achievements bonus
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 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 including relevant past experiences (as an attached document in PDF format);
- Cover Letter (explaining your motivation for this specific position).
Application deadline: Friday, March 27th, 2026
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.
