Two researchers in Computer Vision for the Center Augmented Intelligence

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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 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 two researchers in the field of Computer Vision to support research activities focused on distributed and multimodal representation learning. The positions will contribute to the design and development of advanced deep learning methods for the efficient adaptation of foundation models to custom target tasks with minimal training effort.
The successful candidates will collaborate closely with other researchers within the Centre, as well as with external partners involved in the research activities, and will contribute to the following tasks:

  • Conduct research in computer vision, multimodal learning, and distributed representation learning;
  • Design, develop, and evaluate methods for adapting deep learning and foundation models to domain-specific tasks;
  • Implement experimental pipelines and prototypes for validating research outcomes;
  • Contribute to scientific publications, technical reports, and dissemination activities;
  • Collaborate with the research team and with external partners involved in the research activities;
  • Support the preparation of datasets, benchmarks, and evaluation protocols;
  • Present research results at internal meetings, conferences, and workshops.

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.

Furthermore, the following elements will be positively evaluated:

  • 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: Preferably January 2026
Duration: 12 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 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: 01/12/2025 

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.


 
Recruitment Type
Standard
Business Unit
DVL
Locations
Science and Technology Hub - Trento