Masterstudenten met een interesse in machine learning kunnen ELLIS Excellence Fellowships volgen. Deze drie studenten hebben dit succesvol afgerond.
Masterstudenten met een interesse in machine learning kunnen ELLIS Excellence Fellowships volgen. Deze drie studenten hebben dit succesvol afgerond.

ELLIS Excellence Fellowships – Spring 2025 round is open!

News item

Are you a master's student and interested in machine learning (ML)? Radboud AI hosts the Nijmegen ELLIS Unit. Radboud University is the only university in The Netherlands where you can follow an ELLIS Excellence Fellowship. This is a six-month paid master's thesis on machine learning. You can apply for various projects until October 31, the fellowships will start in February 2025.

Projects

Eleven projects are offered, each with its own topic and supervisor. You will work on an in-depth, academic thesis project for 6 months, starting from February 2025. Apply now for your favorite project before October 31, 2024!

Check all the projects and apply!

Are you:

  • an outstanding MSc student of the Radboud University and Radboudumc? 
  • curious about an academic career? 
  • interested in fundamental, in-depth ML/AI research? 
  • a driven MSc student looking for an extra challenge? 
  • looking to write a high-quality, academic paper? 

... then this fellowship might be for you! 

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. Besides, all applicants should have a grade point average of at least 8.0.

You will:

  • get €500 gross/month. 
  • learn to write academic papers of high quality
  • co-organize ELLIS unit events, network with researchers and other students in the ELLIS Unit

You have access to a dedicated workspace in the ELLIS Unit located on the 20th floor of the Erasmus building every Wednesday.

Deadlines

  • Apply for your favorite project before October 31, 2024
  • Interviews will be held in the week of November 11-15, 2024
  • You will hear if you are accepted before November 30, 2024

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.

There are two ways to apply:

  1. Supervisor projects: Students can apply to a project that has been pre-defined by an ELLIS Unit member 
  2. Student-supervisor projects: Students can submit a project idea together with their supervisor

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.

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

Student Nadezhda about the ELLIS Excellence Fellowships:

"I applied for the ELLIS fellowship because I wanted to work on a project that goes a step further than a simple university assignment and is instead solving a real world problem with significant societal or scientific impact. Something that will challenge me personally and academically and show me what the life of a researcher in my field is like. By joining ELLIS, I got the opportunity to work on a project that has the potential to really contribute to science in collaboration with researchers from other universities and industry partners, and to communicate about that research and exchange ideas with people from my sphere, and many others, at conferences and workshops. It was exactly what I was looking for: a great introduction to the research world under the supervision of field specialists. I would say, go ahead and apply! This fellowship was undoubtedly one of the best and most useful and fulfilling parts of my master degree! It is a great learning experience that will help you grow both professionally and on a personal level!"

Student Nadezhda did the ELLIS project as her master thesis for the Data Science master

Contact information

Organizational unit
ELLIS Unit