Geometric Deep Learning Postdoc Position
1 week ago
Geometric deep learning refers to the study of machine learning problems involving symmetries. This field has gained significant attention in recent years, with applications in computer vision, natural language processing, and other areas. Our research aims to understand how symmetric data affects the training of neural networks.
Role and Responsibilities
The successful candidate will work on theoretical aspects of geometric deep learning, using representation theory to build networks that respect symmetry. They will also contribute to the development of new methods and techniques for handling symmetric data in machine learning.
Requirements
To apply, you should have a strong background in mathematics and machine learning, with expertise in geometric deep learning. Experience with Python and deep learning frameworks such as TensorFlow or PyTorch is highly desirable.
What We Offer
This postdoc position offers an excellent opportunity to develop your scientific interests and strengthen your qualifications in a young and dynamic environment. As part of the WASP program, you will be part of a large national initiative for basic research, education, and faculty recruitment.
How to Apply
For more information, please visit our website. We look forward to welcoming you to our team.
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