📍 Brussels, Belgium | 🗓 7–9 September 2026
We are pleased to announce the CYPHER COST Action Training School on Scientific Machine Learning for Digital Twins, which will take place at Université libre de Bruxelles (ULB), Brussels, Belgium, from 7 to 9 September 2026.
This training school introduces key concepts in scientific machine learning, with a focus on reduced-order modelling and reactive dynamical systems. Participants will attend lectures delivered by leading experts covering modal analysis, probabilistic and physics-informed machine learning, and system identification techniques for reactive flows.
The school aims to provide participants with both the theoretical foundations and practical insights required to develop next-generation digital twins for complex engineering systems.
The training school welcomes PhD students, Early-Career Investigators (ECIs), postdoctoral researchers, and professionals interested in scientific machine learning and digital twins.
📝 After submission, applications will be evaluated by a committee. Successful applicants will be notified of their acceptance and invited to confirm their participation.
💶 Accepted participants will be required to pay a €100 registration fee, which covers lunches and the social dinner during the training school.
💸 Travel reimbursement and per diem support may be available for selected CYPHER COST Action members, subject to COST eligibility rules and available funding.
Not a member yet? 👉 Join here: https://e-services.cost.eu/user/login
Course: Modal Analysis and Model Order Reduction
Course: Probabilistic and Physics-Informed Machine Learning
Course: System Identification for Reactive Dynamical Flows
The training school will cover:
Attendees are encouraged—but not required—to submit posters. Posters will be displayed throughout the school.
| Date | Lecturer | Topic |
|---|---|---|
| 7 September 2026 | Prof. Miguel Alfonso Mendez | Modal Analysis and Model Order Reduction |
| 8 September 2026 | Prof. Alice Cicirello | Probabilistic and Physics-Informed Machine Learning |
| 9 September 2026 | Prof. Anh Khoa Doan | System Identification for Reactive Dynamical Flows |
📝 1 June 2026 – Applications Open
⚠️ 1 July 2026 – Application Deadline (Only 50 places available)
📢 Mid July 2026 – Committee Evaluation Selection and Notification of Accepted Participants
💶 Following Acceptance – Payment of the €100 Registration Fee
Interested participants should submit their application using the online form below:
Application Form:
https://forms.office.com/Pages/ResponsePage.aspx?id=XhSlML11EkK7Ao_5wOpK6W5V_DnloH1HqjjLG5ZAfUZUNDhMQUQ0SEk2NFZGR1hCUzVITTRaQVk0MS4u
⚠️ Please note that submitting the form does not guarantee participation. Applicants will be informed of the outcome after the evaluation process.
We look forward to welcoming participants to Brussels for three days of lectures, networking, and scientific exchange on Scientific Machine Learning for Digital Twins.
