PhD Positions in Foundation Models: The University of Twente is offering two fully-funded PhD positions aimed at advancing the field of computer vision through data-efficient and reliable training strategies. This initiative is part of the NWO-VIDI project “ReVision,” which focuses on enhancing the robustness and accessibility of vision foundation models.
PhD Positions in Data-Efficient Foundation Models for Vision
Designation
PhD Candidate Positions (2)
Table
| Aspect | Details |
|---|---|
| Research Area | Data-Efficient Foundation Models for Vision |
| Location | University of Twente, Netherlands |
| Eligibility/Qualification | Master’s degree in Computer Science, Computer Engineering, Mathematics (AI/ML/CV focus) |
| Salary | €3,059 – €3,881 gross/monthly based on full-time |
| Duration | 4 years |
| Application Deadline | January 6, 2026 |
Research Area
The PhD projects will explore various aspects of vision foundation models, particularly:
- Compositional learning strategies to minimize data requirements.
- Techniques for bias detection and machine unlearning.
- Development of self-supervised learning frameworks using perceptual and conceptual priors.
Eligibility/Qualification
Candidates must have (or be about to acquire) a master’s degree in:
- Computer Science
- Computer Engineering
- Mathematics with a focus on Artificial Intelligence, Machine Learning, or Computer Vision
Additional Requirements:
- Strong background in machine learning, particularly in computer vision.
- Excellent programming, analytical, and communication skills.
- Experience in scientific publication is advantageous.
- Proficiency in English.
Description
The PhD candidates will engage deeply with the research team’s efforts to innovate in the field of data-efficient models for vision. Each candidate will focus on either compositional learning or self-supervised learning, while collaborating on shared methods to reduce biases in training. The positions offer a flexible working environment and opportunities for professional development through conference attendance and tailored training programs.
How to Apply
Interested candidates should submit their application through the university’s online application system. All applications should include:
- A CV
- A motivation letter
- A list of publications (if applicable)
For more information, please contact Dr. Nicola Strisciuglio at n.strisciuglio@utwente.nl.
Last Date for Apply
January 6, 2026
