[meetings][spring school][phd][young researchers] Call for participation at Spring School on Machine Learning and Perception for Social Awareness

AR
Alessandra Rossi
Mon, Jan 26, 2026 7:32 PM

Dear Colleagues,

We are delighted to invite you to the Spring School on Machine Learning
and Perception for Social Awareness

https://www.sweet.unina.it/sweet-spring-school/, taking place on 13–16
April 2026
in Catania, Italy.

Organized by the SWEET project consortium in conjunction with the TRAIL
Conference https://sites.google.com/view/trail-conference, this Spring
School offers a unique opportunity to deepen your knowledge in *social
perception for service robotics, *with a special emphasis on cutting-edge
machine learning, sensing technologies, and algorithmic approaches that
enable robots to understand and interact with humans in socially aware ways.

The programme features a mix of lectures and hands-on practical
sessions
delivered
by* leading figures from academia and industry, such as:*

Participation in the school is free of charge.
Participants should cover only all logistical costs, including travel and
accommodation expenses.

How to Apply:
To participate, please send the following documents via email to
infosweet@unina.it
infosweet@unina.it
by February 28, 2026:

  • A short Statement of Interest (max 1 page)
  • Your current CV
  • A Letter of Support from your Tutor/Supervisor

Acceptance notifications will be sent out by 15 March 2026.

Don’t miss this excellent opportunity to engage with cutting-edge research
and expand your expertise in machine learning, perception, and social
awareness for robotics!

Silvia Rossi and Luigi D’Arco
on behalf of the SWEET consortium https://www.sweet.unina.it/

Dear Colleagues, We are delighted to invite you to the *Spring School on Machine Learning and Perception for Social Awareness* <https://www.sweet.unina.it/sweet-spring-school/>*,* taking place on *13–16 April 2026* in *Catania, Italy*. Organized by the *SWEET* project consortium in conjunction with the TRAIL Conference <https://sites.google.com/view/trail-conference>, this Spring School offers a unique opportunity to deepen your knowledge in *social perception for service robotics, *with a special emphasis on cutting-edge machine learning, sensing technologies, and algorithmic approaches that enable robots to understand and interact with humans in socially aware ways. The programme features a mix of *lectures and hands-on practical sessions* delivered by* leading figures from academia and industry, such as:* - Prof. Alessandro Vinciarelli <http://vinciarelli.net/>- University of Glasgow - Prof. Ing. Igor Farkaš <http://cogsci.fmph.uniba.sk/~farkas/> - Comenius University Bratislava - Prof. Lorenzo Baraldi <https://ailb-web.ing.unimore.it/~lorenzo/> - University of Modena and Reggio Emilia - Prof. Gabriel Skantze <https://www.kth.se/profile/skantze> - KTH Royal Institute of Technology - Prof. Oya Celiktutan <https://www.kcl.ac.uk/people/oya-celiktutan> - King’s College London - Prof. Antonio Chella <https://www.unipa.it/persone/docenti/c/antonio.chella> - University of Palermo - Dr. Anna Belardinelli <https://www.honda-ri.de/people/> - Honda Research Institute - Prof. Angelo Cangelosi <https://research.manchester.ac.uk/en/persons/angelo.cangelosi> - University of Manchester - Dr. Alessandra Sciutti <https://www.iit.it/it/people-profile/-/people/alessandra-sciutti>- Italian Institute of Technology - Dr. Thomas Weisswange <https://www.honda-ri.de/people/> - Honda Research Institute *Participation in the school is free of charge.* Participants should cover only all logistical costs, including travel and accommodation expenses. *How to Apply:* To participate, please send the following documents via email to *infosweet@unina.it <infosweet@unina.it>* by *February 28, 2026*: - A short Statement of Interest (max 1 page) - Your current CV - A Letter of Support from your Tutor/Supervisor Acceptance notifications will be sent out by *15 March 2026*. Don’t miss this excellent opportunity to engage with cutting-edge research and expand your expertise in machine learning, perception, and social awareness for robotics! Silvia Rossi and Luigi D’Arco on behalf of the *SWEET consortium* <https://www.sweet.unina.it/>