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ELIAS Mobility Program Scholarship 2026 in Belgium

In a major boost for early-career researchers specializing in machine learning and artificial intelligence (AI), the ELIAS Mobility Program is now accepting applications for its prestigious mobility grants under the ELLIS (European Laboratory for Learning and Intelligent Systems) network. This initiative, supported by Horizon Europe, provides a unique opportunity for European-based PhD students and postdoctoral researchers to collaborate with world-renowned institutions, advancing their research and global exposure.

What Is the ELIAS Mobility Program?

The ELIAS Mobility Program is designed to foster collaboration, knowledge exchange, and skill enhancement in the formal sciences, particularly in AI and machine learning domains. As a part of the ELLIS network, this program empowers researchers to engage with leading AI institutions, enriching their academic and professional journeys.

This funding opportunity is part of the broader Horizon Europe program, emphasizing innovation, networking, and career development in the realm of cutting-edge AI-driven research. Applications for this mobility grant are assessed on a rolling basis, but candidates must ensure that their submissions are completed at least one month before their intended training period begins.

Benefits of the ELIAS Mobility Program

The ELIAS Mobility Program offers a host of benefits, making it a highly attractive opportunity for young researchers:

  • Financial Support: The program covers travel and subsistence expenses, providing up to 2,400 EUR for each successful applicant.
  • Collaboration and Networking: It enables researchers to work with leading AI institutions across Europe, offering exposure to groundbreaking research and access to a global community of experts.
  • Flexible Duration: The mobility program spans 3 to 6 months, giving researchers adequate time to immerse themselves in new projects and foster lasting professional relationships.
  • Career Advancement: Participating in such a high-profile program can significantly enhance career prospects by broadening research experience, publishing opportunities, and building a strong network within the global AI community.

For Whom Is It Meant?

The program is targeted towards early-stage researchers at two key career levels:

  1. First Stage Researchers (R1): These are individuals up to the point of achieving their PhD.
  2. Recognised Researchers (R2): These are PhD holders who are not yet fully independent in their research careers.

To qualify, applicants must be based in Europe and actively engaged in research fields associated with machine learning and artificial intelligence. The program is inclusive of both mobility incoming (to Europe) and mobility outgoing (within Europe), providing comprehensive support for diverse collaborative endeavors.

How to Apply?

Interested candidates can apply on a rolling basis through the official ELLIS platform. The application process requires careful planning, as submissions must be completed at least one month before the intended start of the training period. More information about the program, application guidelines, and eligibility criteria can be accessed on the ELIAS Mobility Program website https://euraxess.ec.europa.eu/jobs/funding/elias-mobility-program-computer-sciences-europe.

Philip Morgan

Dr. Philip Morgan is a postdoctoral research fellow and senior editor at daadscholarship.com. He completed both his Master’s and Ph.D. at Stanford University and later continued advanced research in the United States as a Hubert H. Humphrey Fellow. Drawing on his rich academic and international experience, Dr. Morgan writes insightful articles on scholarships, internships, and fellowships for global students. His work aims to guide and inspire aspiring scholars to unlock international education opportunities and achieve their academic dreams. With years of dedication to youth development across Asia, Africa, and beyond, Engr. Yousaf has helped thousands of students secure admissions, scholarships, and fellowships through accurate, experience-based guidance. All opportunities he shares are thoroughly researched and verified before publication.

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