20.03.2026

ECIU Learning Opportunities Spring–Summer 2026: Applications Now Open

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Discover exciting ECIU opportunities for students this spring! From robotics and AI to data literacy and systems engineering, gain hands-on experience in international teams and earn micro credentials. Apply now and boost your future-ready skills.

Students at Hamburg University of Technology and across the ECIU network have a range of exciting, challenge-based learning opportunities to explore this spring and summer. From robotics in construction to ethical AI and even chocolate 3D printing, these micro-modules combine technical skills with real-world problem solving in international teams.

Smart Robotics in Construction (6 ECTS)

Application deadline: March 29, 2026

This advanced micro-module, part of Scientific Working in Engineering, focuses on one of the construction industry’s biggest challenges: automation. Students will explore how mobile robots can take over repetitive, dangerous tasks while improving sustainability and productivity.

Participants will:

  • Analyze construction processes and identify automation potential

  • Develop robotic concepts using scientific methods

  • Work in agile, international teams

  • Build simulation-based solutions and present findings

The course runs from April 6 to July 20 in a blended format and includes an on-campus mobility week in June. It’s especially suited for master’s students interested in robotics, AI, and sustainable engineering.

More information here!

SE-CHOC: 3D Printing Meets Chocolate (1 ECTS)

Application closed

This hands-on systems engineering module challenges students to transform a conventional 3D printer into a chocolate printer. Rather than focusing on technical perfection, the course emphasizes system thinking, architecture design, and decision-making under uncertainty.

Highlights include:

  • Role-based teamwork (e.g. system architect, test engineer)

  • Real-time adaptation to changing requirements

  • Hybrid learning with an intensive workshop phase

Running from March 30 to April 16, this module offers a compact but practical introduction to systems engineering in an engaging and creative setting.

More information here!

FAIR & XAIR Data Literacy (1 ECTS)

Application deadline: May 2, 2026

As data becomes central to all fields, this micro-module equips students with essential skills in research data management and AI-ready workflows.

Key focus areas:

  • FAIR principles (Findable, Accessible, Interoperable, Reusable)

  • Explainable AI (XAIR) and transparent data practices

  • Working with interdisciplinary and international datasets

Running throughout June, the course is ideal for students who want to strengthen their data literacy and work effectively with modern research tools.

More information here!

Ethical Innovation and Artificial Intelligence (3 ECTS)

Application deadline: March 23, 2026

This challenge-based course tackles one of today’s most pressing topics: how to develop AI responsibly. Students will engage with real ethical dilemmas related to bias, fairness, sustainability, and human-machine interaction.

What to expect:

  • Insights into generative AI and innovation theory

  • Collaboration with external stakeholders

  • Exploration of inclusive design and ethical frameworks

The course runs from April 13 to June 15 in a hybrid format, with weekly sessions and project-based teamwork.

More information here!

International PhD Summer School (2 ECTS equivalent)

Hosted by Kaunas University of Technology, this summer school offers doctoral students the chance to develop essential academic skills, from publishing research to managing stress and communicating ideas effectively.

Programme highlights include:

  • Publishing in peer-reviewed journals

  • Governance and assessment of AI systems

  • Presentation and communication skills

  • Mental health and stress management in academia

The programme runs in early June and provides both academic development and international networking opportunities.

More information here!

Why Join?

Across all these opportunities, a few common themes stand out:

  • Challenge-Based Learning (CBL): Work on real-world problems

  • International collaboration: Team up with students across Europe

  • Hybrid formats: Flexible participation with hands-on experience

  • Microcredentials: Earn recognized proof of your learning

Whether you’re interested in robotics, AI ethics, systems engineering, or data literacy, these programmes offer a chance to go beyond traditional lectures and build practical, future-ready skills.