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 Digital Industry (DI) Center, one of the Centers of the Bruno Kessler Foundation, focuses its research on digital technologies for the manufacturing industry by creating applications for critical systems, adaptive and autonomous systems, advanced perception, diagnostics, and prediction systems. The research in the DI centre also involves fields related to digital agriculture, cultural heritage, and geomatics.
The Technologies of Vision (TeV) research laboratory conducts research in the fields of Computer Vision, Deep Learning, and Robotic Perception. TeV focuses on developing techniques for 2D and 3D scene understanding, including classification, detection, segmentation, tracking, foundation models, large multimodal models, and neural rendering. Its research has applications in various domains:
- Manufacturing: quality control, robotic manipulation, 3D scene understanding.
- Agritech: drone imaging, 3D reconstruction, detection and segmentation.
- Security: document analysis and verification.
- Automation: object 6D pose estimation, visual language assistants, embedded reasoning.
More information about the TeV lab is available at https://tev.fbk.eu.
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
The core focus of this position is to convert advanced Computer Vision and Deep Learning research into robust, scalable, and reliable technical solutions for diverse projects, including European, internal, and industrial initiatives. The candidate will be responsible for and actively engaged in the development, validation, and integration tasks within these sophisticated technology domains.
The role involves several key areas within Computer Vision and Robotics:
- Robot Learning R&D: conducting research and development efforts focused on Robot Learning;
- Computer Vision Technology Transfer: developing and implementing Computer Vision solutions for various technology transfer projects;
- Algorithm validation: validating Computer Vision algorithms specifically within the framework of industrial project activities.
Job requirements
The ideal candidate should have:
- Master's degree in Computer Science or Engineering, specializing in Artificial Intelligence topics with a strong emphasis on Computer Vision;
- Proven expertise in Computer Vision and Deep Learning is required;
- Knowledge of Linux operating systems, Python and SLURM programming, and PyTorch environment for Deep Learning applications;
- Oral and written proficiency in English (at least C1 level);
- A strong commitment to excelling within a demanding, research-focused setting is essential;
- 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:
- Expertise in object detection, segmentation, and vision-language models;
- Expertise in robotic manipulation programming based on ROS;
- Expertise in data curation for machine learning applications.
Employment
Type of contract: fixed-term contract
Working hours: Full time (38 h per week)
Start date: Preferably April 2026
Duration: 24 months, with the possibility of extending the contract depending on funding
Workplace: Povo, Trento
Gross annual salary: about € 38.900, 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: 12/03/2026
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 Department at jobs@fbk.eu.
