Postdoctoral Researcher in Mathematical Optimization and Machine Learning

The postdoctoral researcher will engage in research on mathematical optimization and its applications to machine learning and AI. The work involves developing and analyzing numerical methods for training large-scale models, focusing on optimization algorithms' convergence properties and computational performance. The position allows for scientific autonomy, collaboration, and opportunities to publish in leading journals. A PhD in applied mathematics or computer science is required, along with proficiency in scientific computing tools.