Phd Student Position in The Field of Optimization
vor 3 Wochen
The Optimization of Machine Learning Systems Group led by Prof. A. Lucchi at the Department of Mathematics and Computer science at the University of Basel is looking for a PhD student to work in the area of optimization and theory of machine learning. Potential topics include:
- Development of algorithms and convergence guarantees for large-scale optimization
- Optimization landscape of deep neural networks
- Theory of deep learning models
Position available starting in the first half of 2023 (position may begin later based on agreement).
**Your position**
- 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
**Your profile**
- Applicants should hold a Master's degree in mathematics, theoretical physics, or computer science with an emphasis on theory. Additional requirements include: outstanding academic record, very strong mathematics background, experience with research is not required but is a plus
- 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
**We offer you**
- Close supervision on your Ph.D. research, working with and access to international collaborators
- A diverse range of tasks in a dynamic environment
- The possibility to travel to international conferences to meet with distinguished scientists
- Excellent salary, benefits and working conditions
**Application / Contact**
- Curriculum vitae (including list of publications if applicable)
- Scanned transcripts of bachelor and master's degree
- Contact info (no direct recommendation letters) for peers that can recommend you
- Your latest thesis (and/or one of your publications if applicable)
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