PhD in Symmetry Breaking for Deep Learning

Uva; Amsterdam; Hybrid; EUR 36,000 - 45,000; Full time

Job summary

University of Amsterdam seeks a PhD candidate to study the dynamics of modern neural architectures within a mathematically principled framework and to develop new deep learning models. The role involves tight theory-to-experiment feedback and collaboration within AMLab.

The position includes a four-year doctoral track, teaching assistant duties, and collaboration across AI, maths, physics. Start date is flexible and applications are invited until December 8.

Qualifications

• You have an MSc in artificial intelligence, computer science, physics, mathematics, or a related field.
• You have strong mathematical skills and are comfortable with building mathematical models of complex phenomena.
• You have a working knowledge of machine learning, including modern deep learning architectures such as transformers.
• You have sufficient programming skills in Python or related languages. Familiarity with scientific libraries (e.g. NumPy/SciPy, PyTorch or JAX) is preferred.
• You are interested in interdisciplinary research, crossing AI/Machine Learning, computer science, mathematics, and physics
• You are fluent in the English language, both in speaking and writing.
• You are willing to take a light education task, as teaching assistant and in supervising Bachelor’s and Master’s students.

Responsibilities

• Conducting independent theoretical research, including development of novel algorithms and mathematical study of the dynamics of deep learning
• Conducting independent empirical research, including coding, training and evaluating deep learning models on a high-performance computing cluster.
• Presenting research results at international conferences, workshops, and journals.
• Completing a PhD thesis within the appointed duration of four years
• Assisting in teaching activities, such as teaching labs and tutorials or supervising bachelors and master students.

Skills

MSc in AI/CS/Physics/Maths

Mathematics skills

Machine learning knowledge

Python programming

Interdisciplinary research

Education

MSc in AI/CS/Physics/Maths

Tools

NumPy/SciPy

PyTorch

JAX

Job description

University of Amsterdam seeks a PhD candidate to study the dynamics of modern neural architectures within a mathematically principled framework and to develop new deep learning models. The role involves tight theory-to-experiment feedback and collaboration within AMLab.

The position includes a four-year doctoral track, teaching assistant duties, and collaboration across AI, maths, physics. Start date is flexible and applications are invited until December 8.