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

vor 3 Wochen


Basel BS, Schweiz Universität Basel Vollzeit

PhD and Post-doc positions in the field of Optimization and Deep Learning Theory (Prof. The Optimization of Machine Learning Systems Group (Prof. 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. 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.
While research experience is advantageous for PhD applicants, it is not mandatory.
Excellent communication skills and fluency in English (spoken and written) are required.
We also seek to increase the number of women and other groups in areas where they are underrepresented and therefore explicitly encourage such groups to apply. Post-doctorates will be given the opportunity to co-supervize PhD students.
Short motivation statement (maximum 150 words) explaining your interest in the position and justifying why your background is a good fit for the position-Curriculum vitae (including a list of publications if applicable)-Scanned transcripts of bachelor's and master's degree-Contact info (no direct recommendation letters) for peers who can recommend you-Your latest thesis (and/or one of your publications if applicable)You are encouraged to send your application before September 10, 2024.



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