There are two ways to apply:
- Supervisor projects: Students can apply to a project that has been pre-defined by an ELLIS Unit member
- Student-supervisor projects: Students can submit a project idea together with their supervisor
The Spring 2025 round will open soon! At the moment, we are collecting new projects from the ELLIS Unit members. On October 7, the projects will be published on the ELLIS Unit Nijmegen website and students can apply.
The program
You will work on an in-depth, academic thesis project for around 6 months, starting from February 2025. You will:
- Get €500 gross/month.
- Have access to a dedicated workspace in the ELLIS Unit located on the 20th floor of the Erasmus building every Wednesday.
- Engage in stimulating discussions and gain insights into a wide range of AI topics beyond your project.
- Learn to write academic papers of high quality.
- Co-organize ELLIS unit events, network with researchers and other students in the ELLIS Unit.
Supervisor eligibility criteria
- At least one of the supervisors has to be an ELLIS Unit Nijmegen member.
Student eligibility criteria
- Outstanding MSc students of the Radboud University and Radboudumc.
- Applicants must be based in Nijmegen for the duration of the project and be present at the ELLIS unit for at least 75% of the Wednesdays during the fellowship period.
- Applicants should have a grade point average of at least 8.0
We highly encourage applications from women, people of color, LGBTQ+ individuals, and members of other marginalized communities.
Application
Student applications should contain the following:
- CV
- A current overview of your grades
- Motivation letter – how does this project fit with your interests, and why an ELLIS fellowship is the most suitable for you
Student-supervisor applications should contain the following:
- CV of student
- A current overview of the grades of the student
- Student motivation letter – how does this project fit with your interests, and why an ELLIS fellowship is the most suitable for you.
- Supervisor details
- Project description
Note: details on how to apply will be added to this page at a later stage.
Selection Process
After verifying that applicants meet the basic eligibility criteria, we will review their motivation letters and CV to assess their interest and fit for the project. Promising candidates will then be invited to participate in interviews. This step will help us judge their research experience, problem-solving skills, and overall potential to contribute meaningfully to the fellowship. Through this process, we aim to identify candidates who are not only academically qualified but also genuinely enthusiastic about advancing in the fields of machine learning and AI.