Caroline Geiersbach

Caroline Geiersbach is an Assistant Professor of Mathematics (Optimization under Uncertainty) at the University of Hamburg. She specializes in stochastic optimization and numerical algorithms for high-dimensional and infinite-dimensional spaces. Her research addresses challenges in energy systems, shape optimization constrained by PDEs, and stochastic Nash equilibrium problems. She recently relocated from the Weierstrass Institute to the University of Hamburg (effective October 2024) and will move to the University of Klagenfurt in fall 2025. She has published in premier journals like Journal of Optimization Theory and Applications and Mathematics of Operations Research.

Research Interests:

• Stochastic optimization methodologies
• Algorithms for nonsmooth and probabilistic constraints
• Applications in energy markets and shape optimization
• Convergence theory of stochastic gradient methods

Publications reflect a focus on stochastic programming, PDE-constrained optimization, and energy market modeling, with recent works addressing Cournot-Nash models and Riemannian shape manifolds.

Current openings: 1 postdoc and 1 predoc position in her research group, with applications due June 25, 2025 for a start date of October 1, 2025.