Joint Doctoral Summer School · Marie Skłodowska-Curie Doctoral Networks
The Joint Doctoral Summer School of the MSCA Doctoral Networks TAILOR & DONUT.
Advanced research training in Rehabilitation Robotics, Brain–Computer Interfaces and Responsible Artificial Intelligence.
Bringing together Europe's next generation of researchers and internationally leading scientists to advance intelligent neurorehabilitation technologies.
Two Horizon Europe Marie Skłodowska-Curie Doctoral Networks join forces to deliver a single advanced doctoral programme at the intersection of artificial intelligence, neuroscience, robotics and clinical rehabilitation — designed for doctoral candidates, their supervisors and researchers shaping the future of the field.
Why this Summer School
Built on the standards of two competitively-funded European doctoral networks, the school combines scientific depth with the breadth that only an interdisciplinary, intersectoral programme can offer.
Lectures from world-leading scientists in rehabilitation robotics, brain–computer interfaces and responsible AI.
Practical sessions where you work directly with the methods, devices and data behind the field.
A peer cohort and senior researchers spanning robotics, neuroscience, AI, ethics and the clinic.
Transferable skills, interaction with industry and clinicians, and entry into a Europe-wide research community.
§ 01 — Scientific scope
Neurological injury and disease impose an immense personal and societal burden. Robotics and artificial intelligence promise to transform recovery — yet progress is held back by a persistent gap: those who design the algorithms, those who build the devices, and those who deliver therapy too rarely train together.
This school is intentionally interdisciplinary. TAILOR works to bring rehabilitation robots into routine clinical practice through AI-driven exoskeleton control; DONUT advances brain–computer interfaces and neural prostheses. Across both lies one imperative — responsible, trustworthy, clinically valid AI for human–machine systems in healthcare.
Brain–computer interfaces, EEG decoding and neural prostheses — from restoring communication to post-stroke recovery.
Trust · transparency · ethics · clinical validation
AI that tailors exoskeleton-assisted gait therapy to each patient, bringing rehabilitation robots into the clinic.
§ 02 — About the networks
Two Horizon Europe Marie Skłodowska-Curie Doctoral Networks join forces to create one unique advanced doctoral programme.
Training the next generation of researchers that will bring rehab robots to clinical practice
An MSCA Doctoral Network developing AI-driven control of exoskeletons to make gait rehabilitation more autonomous, personalised and clinically effective after stroke and neurological injury.
European Doctoral Network for Neural Prostheses and Brain Research
An MSCA Doctoral Network advancing brain–computer interfaces and EEG technologies — improving quality of life for locked-in patients, supporting post-stroke recovery and bringing BCIs toward everyday use.
Together the two networks bring leading universities, research institutes, hospitals and industrial partners into a single programme — training doctoral researchers across the continent and beyond.
§ 03 — Scientific themes
Keynote lectures and workshops are organised around the topics where the two networks converge — from neural decoding to clinical deployment.
Topic I
Trustworthy, transparent and human-centred AI for medical settings.
How do we earn a clinician's trust and a regulator's approval?
Topic II
Exoskeletons and gait robots with AI controllers that adapt therapy in real time.
Can a robot tailor each step to the patient?
Topic III
Decoding neural signals into intent — EEG, neural prostheses and BCIs beyond the lab.
What does it take to read intention reliably?
Topic IV
Moving research from prototype to evidence, guidelines and routine practice.
Why do so few devices reach the clinic?
Topic V
Intuitive, safe and shared control between therapist, patient and machine.
Who is in control, and when?
Topic VI
Learning from therapy data to personalise and predict recovery.
What can the data tell us that the clinic cannot?
§ 04 — International faculty
Confirmed keynotes from the TAILOR network, with DONUT keynotes and invited external faculty being finalised.
Director, Sensory-Motor Systems Lab
ETH Zürich
World-leading researcher in rehabilitation robotics and wearable technologies, and founder of the CYBATHLON.
Biomechatronics & rehabilitation technology
University of Twente · TU Delft
A leading authority on wearable robots, exoskeletons and the neural control of human movement.
Wearable robotics & standardisation
Benchmarking & safety of wearable robots
A driving force behind international benchmarking, safety and standardisation of exoskeletons and wearable robots.
The code-modulated visual evoked potential (c-VEP): From efficient stimulation to effective decoding for high-speed BCI with minimal to no calibration
Machine Learning & Neural Computing Department, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
Neural prostheses
To be announced
A senior researcher from the DONUT network on neural prostheses and translation.
Industry & clinical voices
To be announced
Invited leaders from industry and the clinic, bridging research and practice.
Convened by the coordinators of the two networks — Eduardo Rocon (TAILOR; Centre for Automation and Robotics, CSIC–UPM) and Ivan Volosyak (DONUT; Rhine-Waal University) — with the local organising team at the Universidad Miguel Hernández de Elche.
Faculty titles, affiliations and the complete DONUT and external line-up will be confirmed ahead of the event.
§ 05 — Scientific programme
// Provisional programme — sessions and timings subject to change.
§ 06 — Hands-on workshops
Two parallel hands-on tracks, led by the networks, take participants from theory to practice. Indicative topics include:
TAILOR track
DONUT track
§ 07 — Poster sessions
Each day opens with a rapid-fire poster flash, followed by a moderated session designed to stimulate discussion and forge new collaborations across institutions and disciplines.
Presenting is part of the school: it places your work in front of senior faculty and a peer cohort spanning robotics, neuroscience, AI and the clinic — and it is how many of the school's lasting collaborations begin.
§ 08 — Venue & location
Hosted by a DONUT beneficiary institution in the city of palm groves on Spain's Costa Blanca. Late June in Alicante brings long, warm evenings and direct connections from across Europe through Alicante–Elche airport.
Venue
Cinemateca — Edificio Valona
Avda. de la Universidad s/n, 03202 Elche (Alicante), Spain
Open in maps →
Why attend
§ 09 — Applications
Priority will be given to doctoral candidates of the TAILOR and DONUT Doctoral Networks.
A limited number of external PhD students will be selected on the basis of scientific excellence and alignment with the school's themes.
Applicants submit a short abstract of their research; the scientific committee reviews all applications, and up to 80 participants are admitted to the cohort. Every participant presents a poster.
Join the 2027 cohort
Eighty places, open by competitive selection to doctoral candidates of TAILOR and DONUT and to PhD students worldwide working at the intersection of AI, rehabilitation robotics and brain–computer interfaces.
// Application portal & deadlines to be announced — check back soon.
§ 09 — Accommodation
Conference participants can benefit from special rates at the following hotels. Please use the promotional code when making your reservation.