Researcher in Computer Vision

The ideal candidate should have:

• Master's Degree in Computer Science or related disciplines;
• Previous experience in Computer Vision and Deep Learning;
• Software development skills (preferably in Python);
• 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;
• Previous experience in 3D Computer Vision;
• Previous publications in computer vision and machine learning.

Type of contract: fixed-term contract Working hours: Full time (38 h per week) Start date: May 2026 Duration: 12 months 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

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., The Deep Visual Learning (DVL) unit at FBK is seeking a highly motivated Researcher in Computer Vision to drive innovation in 3D/4D scene representation and reconstruction. This role offers a unique opportunity to apply and develop advanced techniques, including cutting-edge approaches such as Gaussian splatting and neural 3D/4D representations, within a dynamic research environment. The successful candidate will make pivotal contributions to a privately funded project, directly impacting the development of a comprehensive 3D/4D model for industrial applications and shaping the future of innovative solutions.