Postdoc: Symmetries and Their Breaking in Deep Learning

1000scholars; Amsterdam; Ibrido; EUR 41.000 - 64.000; Tempo pieno

Descrizione del lavoro

University of Amsterdam (UvA) invites applications for a Postdoctoral researcher to study symmetries and their breaking in deep learning. You will join AMLab’s new group, contribute to research on neural dynamics, and help shape the lab’s agenda.

The role emphasizes publishing in top venues, mentoring PhD and MSc students, and developing a personal research portfolio with strong English communication. Expected collaboration with international teams and potential co-supervision of students.

Competenze

• PhD (completed or near completion) in machine learning, computer science, physics, mathematics, or a related field.
• Strong publication record in major journals or international conferences.
• Strong mathematical and programming skills (e.g. PyTorch or JAX) and ability to run experiments as well as build theoretical frameworks.
• Ability to drive research independently and to mentor PhD and MSc students.
• Professional command of English.

Mansioni

• Lead and co-author publications at top-tier venues and represent the lab at international meetings.
• Help shape the research agenda of the group and co-supervise PhD and MSc students.
• Build your own research portfolio within the AMLab group.

Conoscenze

Mathematical proficiency

PyTorch or JAX

Independent research

Mentoring PhD/MSc students

English proficiency

Formazione

PhD in ML/CS/Physics/Math or near completion

Strumenti

PyTorch

JAX

Descrizione del lavoro

Postdoc: Symmetries and Their Breaking in Deep Learning

UvA - University of Amsterdam
Amsterdam, Netherlands
€ 3,706 - € 5,760 per month gross

This is what you will do

You will build a line of research that is oriented towards understanding the dynamics of modern neural architectures in a mathematically principled manner, and further you will use this new understanding to build new deep learning architectures with an eye towards scientific applications.

The precise directions will be chosen to align with your research interest but some potential ideas include:
understanding the dynamics of spontaneous symmetry breaking in equivariant neural networks working towards a theoretical understanding of scaling laws in deep neural networks, either for language models or in geometric deep learning studying the dynamics of generative models using tools drawn from theoretical physics such as non-equilibrium and non-reciprocal thermodynamics, and using this approach to construct new generative paradigms applying modern generative techniques to problems of physical interest, such as new ways of sampling for many-body quantum physics

This list of topics is to give you an idea of the interests of the group and is by no means exclusive.

To accomplish these research goals you will

• lead and co-author publications at top-tier venues and represent the lab at international meetings help shape the research agenda of the group, co-supervise PhD and MSc students, and build your own research portfolio

You will be part of a new group within AMLab that is being started by Nabil Iqbal to study neural networks from a physical point of view

What we ask of you

• a PhD (completed or near completion) in machine learning, computer science, physics, mathematics, or a related field
• A strong publication record in major academic journals or international conferences
• Strong mathematical and programming skills (e.g. PyTorch or JAX) and ability to run experiments as well as build theoretical frameworks
• The ability to drive research independently and to mentor PhD and MSc students
• A professional command of English

Application deadline

Deadline 8 December