ML4MatSci: Hands-on Machine Learning for Research in Materials Sciences – 2nd PhD Summer School
📍 Sarajevo, Bosnia and Herzegovina
📅 10-12 June 2026
The ML4MatSci PhD School aims to equip current and prospective PhD students with a solid foundation in machine learning (ML) methods, demonstrated through real-world research led by scientists actively applying ML in their own work.
Our goal is to empower and inspire PhD students to confidently integrate ML into their research, fostering creativity, critical thinking, and innovation in applying data-driven approaches to materials science and related fields.
🔍 Why attend
The ML4MatSci PhD School offers a unique opportunity to:
- Discover how cutting-edge AI is transforming materials science research
- Gain hands-on experience with modern tools for modeling, simulation, and characterization
- Present your research and receive expert feedback
- Network with leading researchers and peers
- Join a growing interdisciplinary community at the intersection of AI and materials science
👥 Target Audience
- PhD students and postdoctoral researchers in Materials science, Physics, Chemistry, Computer science
- Aspiring PhD students interested in AI-driven research
📚 Prerequisites
- Basic programming knowledge (Python preferred)
- Fundamentals of ML and AI
- Understanding of datasets and evaluation metrics
- Enrollment in (or preparation for) a PhD program in a relevant field
🔬 Scientific Focus Areas
- Generative AI for Materials Science
- Agentic AI & Multi-Agent Systems
- Digital Twins of Materials and Processes
- Large Language Models (LLMs)
- Graph Neural Networks & Physics-informed Neural Networks
- Foundation models for materials science
- Explainable AI (XAI) and multi-modal learning
- Tools & Languages: Python, PyTorch, TensorFlow, JAX, Scikit-learn
🧪 Teaching Format
The school runs over three intensive days, combining theory and practice:
- 📚 Lectures – Advanced AI topics delivered by leading experts
- 💻 Hands-on Sessions – Practical workshops on ML tools and methods
- 🏭 Industrial Session – Real-world ML applications in industry
- 🎤 Poster Session – Present and discuss your research
- ⚡ Elevator Pitches – Short, impactful research presentations
📝 Application Details
🗓️ Deadline: 10 April 2026
👉 Apply now
📄 Required Documents
Applicants must submit:
- Short CV (1 page)
- Motivation letter (½ page)
- Poster title and abstract (¼ page)
- Travel cost estimate (in Eur)
- Statement on participation without EU funding
💶 Financial Support
The EuMINe COST Action is pleased to offer reimbursement for up to 20 participants, covering travel expenses and daily allowances. Participants will be selected based on:
- Interest in the school by submitting the CV, a motivation letter and a poster abstract
- Gender and age balance
- Geographic inclusivity, with preference for Inclusiveness Target Countries (ITCs) and Near Neighbour Countries (NNCs)
📅 Important Dates
- Application Deadline: 10 April 2026
- Notification of Acceptance: 16 April 2026
👩🏫 Lecturers
- Jacob Goldberger – Bar-Ilan University (Israel)
- Keith Butler – University College London (UK)
- Salim Belouettar – Luxembourg Institute of Science and Technology (Luxembourg)
- Patrícia Ramos – Polytechnic of Porto / INESC TEC (Portugal)
- Michael Moeckel – Technische Hochschule Aschaffenburg (Germany)
- Amila Akagic – University of Sarajevo (Bosnia and Herzegovina)
- Amra Hasecic – University of Sarajevo (Bosnia and Herzegovina)
📌 Programme
The complete programme will be available soon.
🧑💼 Organizers
- Michael Moeckel – Technische Hochschule Aschaffenburg (Germany)
- Amila Akagic – University of Sarajevo (Bosnia and Herzegovina)
- Amra Hasecic – University of Sarajevo (Bosnia and Herzegovina)
- Francesco Mercuri – National Research Council (Italy)
📍 Practical Information
Location: Sarajevo, Bosnia and Herzegovina
Venue
Faculty of Electrical Engineering
University of Sarajevo
Kampus Univerziteta
71000 Sarajevo
📧 Contact:
Amila Akagic — aakagic@etf.unsa.ba
