PhD student on perceptual foundation models

**Job Description**
This PhD project focuses on developing a new generation of perceptual foundation models through advanced perceptual pre-training and fine-tuning algorithms. The goal is to expand their sensing abilities, improve generalization, and ensure efficiency and sustainability for specialist industrial use cases. The research is embedded in the Video & Image Sense Lab at the University of Amsterdam and involves active collaboration with partner TNO within the NWO Perspectief Foundation for Industry (FIND) project.

**Skills & Abilities**
• Strong background/knowledge in machine learning and computer vision.
• Natural language processing (plus).
• Solid mathematics foundations, especially statistics, calculus and linear algebra.
• Excellent programming skills, preferably in Python.
• Experience with AI/HPC supercomputing and running software on scale.
• Highly motivated, independent, and creative.
• Strong communication, presentation and writing skills and excellent command of English.
• Prior publications in relevant machine learning or computer vision conferences or journals (advantageous).

**Qualifications**
Required Degree(s) in:
• Artificial Intelligence
• (Applied) Mathematics/Physics
• Computer Science
• Engineering
• Related field

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