Eastern European Machine Learning Summer School 2026 | Fully Funded

Machine Learning Summer

A machine learning summer class opportunities is opened to candidates all over the world, regardless of their level of expertise in Machine Learning or whether they are students or not at the Eastern European Machine Learning Summer School.

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The Eastern European Machine Learning Summer School is a fully funded opportunities that will cover the Registration Fees, Accommodation, and Travel Expenses.

The scholarship is applicable to high school, undergraduate, master’s, doctoral, and post doctoral students.

In this post, the full details of the eligibility, benefits, timeline, and application procedure will be provided.


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Eastern European Machine Learning Summer School Scholarship Abstract

  • Scholarship Host: Eastern European Machine Learning Summer School
  • Study Abroad: Study Abroad || Study-In-Europe 
  • Location: Cetinje, Montenegro
  • Category: Scholarships|| Trainings 
  • Benefits: Full Scholarship
    • Free Machine learning Training
    • Registration Fees
    • Accommodation
    • Travel Expenses
  • Eligibility: All Countries
  • Deadline: March 31, 2026

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Eastern European Machine Learning Summer School Details

The Eastern European Machine Learning (EEML) summer school is a one-week summer school around core topics regarding machine learning and artificial intelligence.

The summer school includes both lectures and practical sessions (labs) to improve the theoretical and practical understanding of these topics.

The school is organised in English and is aimed in particular at graduate students, although it is open to anyone interested in the topic. 

 

Eastern European Machine Learning Summer School Benefits

The Eastern European Machine Learning Summer School will offer participants

  • Training on  both fundamental and advanced topics related to machine learning
  • Travel Cost
  • Accommodation
  • Registration Fees
  • Certificate of Participation

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Eastern European Machine Learning Summer School Requirements

To be eligible for the Eastern European Machine Learning Summer School, applicants must satisfy the following conditions:

  • Be 18 + by the time of application

  • have experience in programming (preferably Python); knowledge of any modern framework for neural networks (JAX, TensorFlow, Keras, PyTorch, etc.) will come in handy, though it is not strictly necessary;

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  • be familiar with notions of Linear Algebra, Probability Theory, and general Machine Learning;

  • be very interested in learning about advanced topics in Deep Learning and Reinforcement Learning.

  • Have a personal computer with google chrome installed

Eastern European Machine Learning Summer School Required Documents

While applying for the 2026 Eastern European Machine Learning Summer School, you will be required to submit the following documents;

  • personal information (name, contact, affiliation etc.)

  • an up-to-date CV (your choice of template, must be a pdf file)

  • a statement of research interests (min 500 characters, max 2000 characters): describe your research interests, projects related to ML you worked on or would like to work on, motivation for attending the summer school.

  • an extended abstract on (choose ONLY ONE):

    • (1) [Research] your own project related to Machine Learning, OR

    • (2) [Reproduction] a project reproducing the results of a paper published by someone else in a top conference or journal (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, EMNLP, TPAMI, JMLR, TMLR) in the past 5 years, OR

    • (3) [Competition] a report summarising your participation in an ML-related Kaggle competition or similar competition during 2022 / 2023 / 2024 / 2025

  • diversity data (optional)

  • travel grant request

How To Apply for Eastern European Machine Learning Summer School 2026

To apply for the Eastern European Machine Learning Summer School 2026, follow the instructions we have outlined below; 

  • Read the information we have provided on this webpage and ensure your eligibility
  • Create or use an existing gmail account
  • provide all necessary documents in pdf format
  • apply y uploading all necessary document via the gmail.

Begin your application by clicking on the button below.

Deadline: March 31st, 2026


Click Here To Apply


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