Fully Funded PhD in Compositional Learning for Vision Foundation Models at University of Twente University of Twente in Netherlands

Fully funded PhD opportunity in Compositional Learning for Vision Foundation Models at the University of Twente (Netherlands), within the Data Management and Biometrics (DMB) Group and the Computer Vision Lab, supervised by Dr. Nicola Strisciuglio.

The project focuses on Computer Vision, Machine Learning, Vision Foundation Models, Compositional Learning, Data-Efficient AI, Bias Detection, and Machine Unlearning. The research aims to reduce the data requirements of vision foundation models by developing structured learning strategies such as object-attribute compositionality, bias mitigation, and perceptual/conceptual priors.

This is a fully funded 4-year PhD position with a gross monthly salary of €3,059–€3,881, plus Dutch university benefits including holiday allowance, end-of-year bonus, pension, leave hours, campus sports access, parental leave, and a training programme through the Twente Graduate School. Conference and scientific travel support is also included.

Applicants should have or soon complete a master’s degree in Computer Science, Computer Engineering, or Mathematics with a major in Artificial Intelligence, Machine Learning, or Computer Vision. Strong programming and mathematical skills, research interest in the topic, good communication, teamwork, and English proficiency are expected. Prior publication experience at venues such as CVPR, ICCV, ECCV, or ICLR is appreciated.

The application deadline is 2026-07-21. Apply through the University of Twente vacancy portal and submit a CV, cover letter/motivation letter, academic transcript, and English test evidence if required. For questions, contact [email protected].