FBK is a private research institution based in Trento (Italy) and operating in different scientific fields and disciplines. As such, it has the role of keeping the Autonomous Province of Trento within the mainstream of international research. FBK is made up of 12 research centers, whose activities and production are available at http://www.fbk.eu/research-centers.
Workplace Description
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.
FBK is opening a new position within the Mobile and Social Computing Lab (MobS) Research Unit of the Augmented Intelligence Research Center at FBK. The main objective of MobS Lab is to build predictive and computational approaches to human behavior understanding using the newly ubiquitous sources of data that are becoming available about all aspects of human life. Moreover, MobS aims also at using these computational models of human behaviors in order to design more efficient companies, cities and societies, and to solve challenges in several fields such as health, finance, crime, transportation, energy consumption and sustainability, unemployment, etc. MobS is also active in human-centric machine learning, graph neural networks, cooperative AI, algorithmic fairness, and generative AI agents.
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
MobS is seeking a Researcher in the fields of Graph Neural Networks. The candidate will work in collaboration with other researchers of the newly ELLIS Unit Trento (https://ellis.eu/units/trento) and of other ELLIS Units in Europe, with other researchers of the Center for Computational Social Science and Human Dynamics (https://c2s2.unitn.it/), as well as with partners of the group (e.g., Structured Machine Learning Group at University of Trento, Cambridge Artificial Intelligence group, etc.).
The candidate will also be involved in two ongoing AI projects: (i) ELIAS, the network of excellence on AI for sustainability, and (ii) TANGO, a project on building the new generation of AI-human systems.
The Ideal Candidate should have:
- Master degree in Computer Science, Computer Engineering, Physics, Mathematics;
- strong software development skills (preferably in Python);
- very good knowledge and proficiency of the English language;
- team working attitude;
- good communication and interpersonal skills;
- autonomy in developing research and organizing work activities.
Furthermore, the following elements will be positively evaluated:
- PhD in Computer Science, Computer Engineering, Physics or Mathematics;
- previous experience in Graph Neural Networks and Geometric Deep Learning is very relevant;
- a good track record of publications in top machine learning conferences (NeurIps, ICML, ICLR, AAAI, IJCAI, ECML-PKDD, AISTATS, etc.) is relevant.
Employment
Type of contract: fixed-term contract
Start date: preferably May 2026
End date: December 31st, 2027
Working hours: full-time (38 h per week)
Gross annual salary: € 41.245 (plus objectives achievement bonus)
Workplace: Povo, Trento (Italy)
Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, social security (SANIFONDS), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees. 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
- Motivational letter
- 2 professional references (e-mails and/or phone numbers).
Application deadline: April 27th, 2026
Please read our Regulations on the recruitment and selection of fixed-term personnel before completing your application.
For further information, please contact the People Innovation for Research Department at jobs@fbk.eu