The Department Mathematics and Computer Science of University of Basel looking for creative, open-minded PhD students and postdocs to work on problems between machine learning, physics and imaging at the Department Mathematics and Computer Science. The positions are funded by an ERC Starting Grant Signals, Waves, and Learning-A Data-Driven Paradigm for Wave-Based Inverse Problems (SWING). Our mission will be to develop machine learning and signal processing tools relevant for scientific questions in imaging and inverse problems. We will seek both theoretical insight and impact in key applications.
Several PhD and postdoc positions are available. The postdoc openings include supervision of student projects and help with running the group.
Your position
The ERC project addresses the theory of learning for inverse problems together with the cutting-edge applications. The objectives of the project are 1) to combine ideas from two centuries of mathematical physics with modern machine learning, and 2) to pursue new results in signal processing, including unlabeled and non-linear sampling, randomized sensing (as in random-view tomography), and corresponding invariant computational structures. We will look at applications across the imaging spectrum, including molecular, medical, and seismic. Individual projects will address different aspects of this story. As a team we will strive for a fundamental understanding of the interplay between machine learning, signal processing and physics.
Further details:
PhD and Postdoc Positions at the Department Mathematics and Computer Science of University of Basel