The University of Vienna is offering a PhD position in the area of Graph Learning, supervised by Associate Professor Nils M. Kriege, who leads the Machine Learning with Graphs work group. This opportunity is ideal for candidates with a strong interest in machine learning, graph theory, and mathematical foundations. The research will focus on advanced topics at the intersection of graph theory and machine learning, providing a stimulating environment for academic growth and innovation.

The successful applicant will join a vibrant research group at one of Europe's leading universities, engaging in cutting-edge research in graph learning. The position is based in Vienna, Austria, and offers the chance to collaborate with experts in the field. While specific funding details are not provided, university assistant predoctoral positions at the University of Vienna typically include a salary and may offer tuition coverage.

Applicants should have a relevant background in computer science, mathematics, or a related discipline, and demonstrate a strong motivation for research in graph learning and machine learning. The application deadline is March 26, 2026. Interested candidates should apply through the University of Vienna's official job portal, following the instructions provided in the application link.

Key research areas include graph learning, machine learning, graph theory, and mathematical foundations. This position provides an excellent opportunity for aspiring researchers to develop their expertise and contribute to the advancement of knowledge in these fields.