Master’s students, PhD candidates and early-career researchers from the Iuliu Hațieganu University of Medicine and Pharmacy can now apply for the UMH Winter School on Brain Architecture for NeuroAI and Neurotechnology: A Systems Neuroscience Perspective, an intensive programme hosted by Universidad Miguel Hernández de Elche (Spain), between 8–12 December 2025.
The Winter School focuses on one of the major challenges in neuroscience: understanding how different brain systems work together as an integrated and embodied network in real-world conditions. The emergence of neuroAI brings a new dimension to this field, where principles of brain organisation guide the development and analysis of modern artificial intelligence systems.
Participants – Master’s students, PhD candidates and early-career researchers – will also have the opportunity to become co-authors of the final paper summarising the outcomes of the course. The programme includes morning lectures, followed by focused discussions and tutorials in the afternoon.
General information:
- Dates: 8–12 December 2025
- Location: Universidad Miguel Hernández de Elche, Spain
- Application deadline: 24 November 2025
- Course programme: available on the UMH website
Interested UMF students are invited to submit their application file by email to neurotecheu.mobility@brainscience.ro. Participation is open only to students from the universities that are part of the NeurotechEU alliance, including UMF „Iuliu Hațieganu”.
Required documents for the application file:
- NeurotechEU Mobility Application Form (Annex 1)
- Internal Mobility Agreement (Annex 2)
- Candidate’s CV in EuroPass format
- Copy of ID card
For further details regarding the application process, please contact our university’s NeurotechEU team at neurotecheu.mobility@brainscience.ro.
This activity is organised by NeurotechEU – The European University of Brain and Technology and co-funded by the European Commission, in collaboration with the EU projects AI Stroke Neurorehabilitation, CAVAA, Convergent Science Network and Living Machines.
