PhD and Post-doc positions in the field of Optimization and Deep Learning Theory

The Optimization of Machine Learning Systems Group (Prof. A. Lucchi) at the Department of Mathematics and Computer Science at the University of Basel is looking for several PhD students and post-doctorate to work in the areas of optimization for machine learning, and theory of deep learning. Potential research topics include the development of adaptive optimization methods, the exploration of the loss landscape in deep neural networks, and the design of novel neural network architectures that enhance efficiency in both training and inference.

Position available starting around November 2024 (position may begin later in the spring or summer 2025 based on agreement). The duration of a PhD in Switzerland is 4 years. Post-doctoral positions are initially for 2 years, with the potential for extension up to 4 years.
Your tasks include:
Conduct research in the field of applied mathematics and computer science
Write research papers, articles, and present results at leading international conferences. We publish in venues such as ICML, NeurIPS, ICLR, JMLR, AISTATS, SIAM journals, Mathematical Programming, and more
Interact with national and international teams of mathematicians and computer scientists

PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Post-doctoral applicants should have completed a PhD in these or related fields.

Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD applicants, it is not mandatory.

Excellent communication skills and fluency in English (spoken and written) are required.