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Position: PhD student position (f/m/d) in Optimization and Machine Learning
Institution: Weierstrass-Institut für Angewandte Analysis und Stochastik
Location: Berlin, Germany
Duties: Continuous optimization for machine learning, deep learning, reinforcement learning; Optimal transport and gradient flow for machine learning and optimization; Robust optimization; Robustness and generalization in learning with a focus on decision-making; Dynamical systems modeling and optimization; Interfacing learning theory and optimization
Requirements: We invite candidates with a master’s degree in computer science, statistics, or applied mathematics, with a special focus on rigorous training in machine learning or optimization. Those qualifications are demonstrated by high-quality technical reports or publications in relevant venues such as (NeurIPS/ICLR/AISTATS/ICML/AAAI/CoLT/ALT/JMLR/STOC etc.). Candidates with strong applied or industrial experiences will also be considered
   
Text: PhD student position (f/m/d) in Optimization and Machine Learning Continuous optimization for machine learning, deep learning, reinforcement learning; Optimal transport and gradient flow for machine learning and optimization; Robust optimization; Robustness and generalization in learning with a focus on decision-making; Dynamical systems modeling and optimization; Interfacing learning theory and optimization We invite candidates with a master’s degree in computer science, statistics, or applied mathematics, with a special focus on rigorous training in machine learning or optimization. Those qualifications are demonstrated by high-quality technical reports or publications in relevant venues such as (NeurIPS/ICLR/AISTATS/ICML/AAAI/CoLT/ALT/JMLR/STOC etc.). Candidates with strong applied or industrial experiences will also be considered
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