Application
Important dates
Applications opening date: 24th February 2025
Applications closing date: 28th March 2025 23:59 (AoE)
Notification of acceptance: Early May 2025
Registrations opening date: Early May 2025
School dates: 8-12th September 2025
Applications
Please complete the form below to submit your application:
https://forms.gle/jPCtd7DgrCi2nb2J9
We prioritize applications from researchers, PhDs, and professionals with relevant experience. We welcome applications from exceptional Master's and Bachelor's students.
LLM usage policy
Authenticity matters. We strongly discourage the use of LLMs for application materials.
We urge you to craft your application materials with your own voice. Your application is an opportunity to express your unique perspective and passion. We review hundreds of applications, and look for authentic expressions of interest that stand out in the mix. While LLMs may seem appealing, they often produce generic content that fails to capture the authenticity we value, effectively hindering your chances of success.
Registration fees
Students (PhD, master, etc): Free
Post-doc and faculty: 200€
Industry: 500€
Note that the selection process prioritizes students and academics. To secure place(s) for industry, we invite companies to consider becoming sponsors of the event. Please contact the organizers at organizers@m2lschool.org for more details.
Scholarships
We might be able to provide a limited number of scholarships to (working) students to cover registration fees, accommodation and/or travel, depending on funds availability.
Applications evaluation process
Applications will be evaluated on the following metrics:
Motivation
Education
Research interests and practical experience
Community involvement / Outreach activities
We are deeply committed to diversity and inclusion. We strive to create a welcoming and heterogeneous candidate pool by:
Proactively reaching out to and supporting underrepresented communities
Prioritising financial support when needed
Cultivating a safe and inclusive environment with zero tolerance for discrimination and harassment
Our selection process emphasizes merit while minimizing bias:
Personal identifiable information is hidden during the review process
Scores are normalized per metric and per reviewer before aggregation