Entering the specialized field of artificial intelligence requires more than just standard classroom learning; it demands immersion in high-level research and academic collaboration. For many ambitious students, the struggle to find a funded opportunity that allows them to produce a world-class thesis while maintaining financial stability is a significant barrier to an academic career.
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The 2026 ELLIS Excellence Fellowship, hosted by Radboud AI in the Netherlands, is a premier initiative designed to solve this problem. By providing a paid pathway for Master’s students to engage in deep Machine Learning research, this fellowship ensures that talented individuals can focus on Strategic Management of their academic goals while receiving monthly financial support.
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2026 Radboud University ELLIS Excellence Fellowship (Paid Master’s Thesis for Machine Learning) Summary Table
| Detail | Value |
|---|---|
| Host Organization | Radboud University (ELLIS Unit Nijmegen) |
| Target Audience | Master’s (MSc) Students |
| Primary Benefit | Monthly Stipend and Academic Publication |
| Program Type | Research Fellowship and Thesis Support |
| Gender Focus | Open to All Genders |
| Application Deadline | 31 May 2026 23:59h |
About the 2026 Radboud University ELLIS Excellence Fellowship (Paid Master’s Thesis for Machine Learning)
The ELLIS Excellence Fellowship is a unique academic program offered exclusively in the Netherlands via Radboud University. This initiative is part of the broader ELLIS network, which aims to keep European AI research competitive on a global scale. Unlike a standard internship, this fellowship is a six-month intensive research journey where students work on fundamental topics like Generative Models, Graph Neural Networks, and Probabilistic Circuits.
This program is specifically structured for driven students who are looking for an extra challenge and wish to pursue an academic career. By working closely with industry partners such as ASMPT and Alliander, fellows gain experience in Corporate Restructuring of data systems and Equity Capital Raising for tech-driven projects. It is an elite platform for creating high-quality papers that get published in top-tier journals.
Core Objectives of the Program
- To provide financial significance through a paid research environment for MSc students.
- To foster fundamental AI research in areas like Bayesian Optimization and Spiking Neural Networks.
- To bridge the gap between academic theory and industrial application in the Financial Services Ecosystem.
Benefits of the 2026 Radboud University ELLIS Excellence Fellowship (Paid Master’s Thesis for Machine Learning)
- A monthly gross stipend of 500 Euros to support your living expenses.
- Professional guidance in writing and publishing high-quality academic papers.
- Networking opportunities with a global community of elite AI researchers.
- Access to specialized events and workshops organized by the ELLIS Unit.
- Hands-on experience with cutting-edge Insurance Technology and Alternative Financing models.
Eligibility and Requirements of the 2026 Radboud University ELLIS Excellence Fellowship (Paid Master’s Thesis for Machine Learning)
- Student Level: You must be an active Master of Science (MSc) student.
- Interest Area: A deep passion for fundamental Machine Learning and Artificial Intelligence research.
- Academic Goal: A strong desire to pursue a PhD or a career in academic research.
- Time Commitment: Ability to commit to a 6-month full-time thesis project starting September 1 2026.
- Academic Record: Candidates should demonstrate high grades and a history of solving complex technical problems.
- Language: Proficiency in English is required as the programs and thesis are English-language based.
Detailed Application Phases for the 2026 ELLIS Excellence Fellowship
Phase 1: Research and Project Selection
- Explore the list of 17 available projects including Visual Anomaly Detection and Brain-Inspired AI.
- Identify a supervisor whose research focus aligns with your personal career trajectory.
- Study the collaboration details for projects involving industrial partners like Alliander or ASMPT.
- Confirm that your current MSc program allows for an external thesis project of this nature.
Phase 2: Portfolio and Document Development
- Update your CV to highlight any advanced coursework in Strategic Management or AI algorithms.
- Prepare a transcript of your current Master’s grades to prove your academic rigor.
- Draft a motivation letter explaining why you are the best fit for a specific ELLIS project.
- Organize your portfolio into a single, clean PDF format for easy digital submission.
Phase 3: Project Specific Customization
- Reach out to the listed supervisors for specific projects to ask clarifying questions.
- Align your research interests with keywords like Estate Planning for data or Tax Strategies for algorithmic efficiency.
- Refine your statement of purpose to reflect an interest in writing an academic paper.
- Verify the technical requirements for projects involving Graph Neural Networks or Bayesian Reinforcement Learning.
Phase 4: Formal Application Submission
- Submit your full application package through the official Radboud University portal.
- Ensure your project preferences are clearly ranked if the system allows multiple choices.
- Cross-check that your monthly stipend and 6-month timeline are clearly understood.
- Finalize your submission before the April 29 2026 deadline.
Phase 5: Interview and Onboarding
- Prepare for a technical interview where you may be asked about Machine Learning fundamentals.
- Monitor your email for an invitation to co-organize ELLIS unit events.
- Plan your relocation to Nijmegen if you are currently studying elsewhere.
- Begin preliminary reading for your chosen topic before the official September start date.
Jamnet Expert Advice (STAR and SMART Methods)
- Use the SMART Method: Be Specific about which ML topic you want to master, ensure your research progress is Measurable, and keep your thesis Relevant to current Fintech trends.
- Apply the STAR Technique: In your motivation letter, describe a Situation where you used AI to solve a problem, the Task involved, the Action you took, and the Resulting data.
- Emphasis: Focus on your ability to produce high-quality academic writing and your curiosity for deep-tech research.
- Proactive Tip: Since Radboud is the only university in the Netherlands with this fellowship, competition is high; apply as early as possible.
Deadline: 31 May 2026 23:59h
CLICK HERE TO APPLY
Frequently Asked Questions (FAQ) About the 2026 Radboud University ELLIS Excellence Fellowship (Paid Master’s Thesis for Machine Learning)
- How much is the monthly stipend? Fellows receive a gross monthly payment of 500 Euros for the duration of the project.
- How long does the fellowship last? The fellowship is a six-month commitment dedicated to writing your Master’s thesis.
- Can international students apply? Yes as long as you are a Master’s student and meet the academic requirements at Radboud University.
- What kind of projects are available? There are 17 projects covering topics like Bayesian Optimization, Kidney Cancer AI, and Electricity Grid Expansion.
- Is it possible to publish a paper during this program? Yes one of the core goals is to help you learn how to write and publish high-quality academic papers.
- When does the program start? The fellowship projects are scheduled to begin on September 1 2026.
- Do I get to work with companies? Several projects are in collaboration with industry leaders like ASMPT and Alliander.
- Is this only for computer science students? It is for any MSc student with a strong background and interest in Machine Learning.
- Can I choose my own research topic? You must apply for one of the 17 specific projects listed by the Nijmegen ELLIS Unit.
- What is the main benefit for my career? It provides an extra challenge, networking with top researchers, and a strong foundation for a PhD.
