PhD Position on Multimodal Foundation Models: The University of Amsterdam is inviting applications for a PhD position focused on Multimodal Foundation Models within the Faculty of Science. This groundbreaking research aims to enhance the generalization capabilities of multimodal foundation models through advanced pre-training and fine-tuning techniques, addressing current limitations in AI and promoting novel solutions for various problem settings.
Designation
PhD Candidate
Research Area
Artificial Intelligence, Deep Learning, Computer Vision, Multimodal Learning
Location
University of Amsterdam, Netherlands
Eligibility/Qualification
- MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering, or related field.
- Strong background in machine learning and computer vision; knowledge in natural language processing is a plus.
- Solid foundations in mathematics, particularly statistics, calculus, and linear algebra.
- Excellent programming skills, preferably in Python.
- Experience with AI/HPC supercomputing and running software at scale is advantageous.
- Highly motivated, independent, creative, with strong communication, presentation, and writing skills.
- Prior publications in relevant machine learning or computer vision conferences or journals are beneficial.
Job Description
- Develop new deep learning, computer vision, and multimodal learning methods for pre-training and fine-tuning multimodal foundation models.
- Actively collaborate within the European Horizon ELLIOT project and contribute to its use cases.
- Present research progress internally and at international conferences/workshops.
- Publish intermediate research findings in proceedings and journals.
- Assist in teaching activities, including lab assistance and student supervision.
- Complete and defend a PhD thesis within an appointment duration of four years.
How to Apply
Interested candidates should submit the following documents in a single PDF file:
- A motivation letter outlining your interest in the position.
- Curriculum vitae (max 2 pages), including a list of publications, if applicable.
- A research statement detailing your approach to the PhD project (max 2 pages).
- A link to your Master’s thesis (or an abstract if not available online).
- A complete record of Bachelor and Master courses, including grades and explanation of the grading system.
- A list of projects or publications with brief descriptions of contributions (max 1 page).
- Names and contact information of at least two academic references (without recommendation letters).
Applications must be submitted through the university’s online application system.
Last Date for Application
June 30, 2025
