EEML Summer School 2026 in Montenegro (Fully Funded)

The applications are open for the EEML Summer School 2026. It is a Fully Funded Summer School for applicants from all around the world, taking place in Cetinje, Montenegro, from 27 July to 1 August 2026. The Eastern European Machine Learning Summer School is open to High School, undergraduate, master’s, PhD, and postdoc students. Financial Support is available for the candidates, which will cover the Registration Fees, Accommodation, and Travel Expenses. Participants will get exposure to high-level Artificial Intelligence and Machine Learning (ML) education across Eastern Europe. Below are more details about the Program requirements and the application process.

Details About EEML Summer School 2026

  • Host Country: Montenegro
  • City: Cetinje
  • Program Dates: 27 July to 1 August 2026
  • Duration: 6 Days
  • Benefits: Fully Funded
  • Deadline: 31st March 2026

Also Check: Best Summer Programs in Europe For 2026 (Fully Funded)

Financial Benefits

Financial support is awarded based on financial need rather than merit. The program covers:

  • Travel Cost
  • Accommodation
  • Registration Fees
  • Certificate of Participation
  • Read more about the Financial Support

Eligibility Criteria

  • Open to All: Anyone 18 or older is welcome to apply, regardless of location.
  • Diverse Backgrounds: Participants from various disciplines.
  • Global Reach: While the school is hosted in Eastern Europe to highlight local Machine Learning talent, we encourage applications from every region of the world.
  • Inclusive Environment: The goal is to create a vibrant, international community of researchers and practitioners.

Also Check: PolyU Hong Kong International Summer School 2026 (Fully Funded)

What will you gain?

  • Explore both fundamental and advanced topics in Machine Learning, including Deep Learning and Reinforcement Learning.
  • Learn key terminology and core concepts in the field.
  • Understand theoretical foundations, open research questions, and emerging trends.
  • Gain familiarity with common neural network architectures such as CNNs, RNNs, GNNs, and Transformers.
  • Learn best practices for designing experiments, setting baselines, and tuning hyperparameters.
  • Develop the ability to design, train, test, and evaluate neural networks for specific tasks.
  • Analyze and diagnose model behavior, including issues like overfitting.
  • Network with peers and leading researchers through social events and poster sessions.

Also Check: Blue Carbon Summer Course 2026 in Scotland (Fully Funded)

How to Apply for the EEML Summer School 2026?

Applicants have to apply online from the official website. To apply for the Eastern European Machine Learning Summer School (EEML), visit the official website below.

APPLY FOR THE EEML SUMMER SCHOOL

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