Publisher
source

Nicola Strisciuglio

5 months ago

2 Fully Funded PhD Positions in Data-Efficient Vision Foundation Models (Compositional & Self-Supervised Learning) at University of Twente University of Twente in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

Netherlands

University

University of Twente

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

More information can be found here

Official Email

Keywords

Computer Science
Machine Learning
Deep Learning
Mathematics
Artificial Intelligence
Computer Vision
Bias
Self-supervised Learning
Wireless Foundation Models

About this position

The University of Twente is offering two fully funded 4-year PhD positions in the Data Management and Biometrics (DMB) group, led by Dr. Nicola Strisciuglio, as part of the NWO-VIDI project "ReVision: Robust and Data-Efficient Vision Foundation Models." The research focuses on advancing computer vision and machine learning by developing new techniques for compositional learning and data efficiency in vision foundation models. The project aims to address the challenges of high data requirements, hidden biases, and limited accessibility in current vision models by exploring structured concept learning, bias detection, machine unlearning, and self-supervised objectives with perceptual and conceptual priors.

PhD candidates will work on one of two topics: (1) Compositional Learning, focusing on object-attribute compositionality to reduce exhaustive data needs, and (2) Self-Supervised Learning with priors, designing objectives that capture continuous similarity. Both positions will contribute to integrating machine unlearning techniques to remove biases and shortcuts during model training. The research environment is interdisciplinary and internationally oriented, with strong collaboration within the EEMCS faculty and external partners.

Applicants should have or be close to completing a master's degree in Computer Science, Computer Engineering, or Mathematics (with a major in AI, ML, or Computer Vision). Required qualifications include a solid background in machine learning and computer vision, strong mathematical and programming skills, creativity, analytical ability, teamwork, and proficiency in English. Non-native speakers must provide an IELTS (min 6.5), TOEFL-iBT (min 90), or Cambridge CAE-C (CPE) certificate unless their prior education was in English. Experience in scientific publishing at top venues is appreciated.

The positions are fully funded for four years, with a gross monthly salary from €3,059 to €3,881, plus benefits such as an 8% holiday allowance, 8.3% end-of-year bonus, pension scheme, generous leave, free campus sports facilities, parental leave, a training program, and a travel budget for conferences. The University of Twente is a family-friendly, internationally recognized institution with a strong focus on high-tech human touch and societal impact.

To apply, submit your application online before January 6, 2026, including a CV (max 2 pages), cover letter (max 1 page) specifying your interest and motivation for one or both positions, academic transcript, and proof of English proficiency if required. For substantive questions, contact Dr. Nicola Strisciuglio at [email protected]. The first round of interviews will be held in early February 2026.

Keywords: Computer Vision, Machine Learning, Compositional Learning, Self-Supervised Learning, Data-Efficient Models, Artificial Intelligence, Foundation Models, Bias Detection, Machine Unlearning, Deep Learning.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors