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—such as bent, plateaued, and almost perfect nonlinear (APN) functions—and the design of linear codes with prescribed properties useful for cryptography, including minimal, self-orthogonal, LCD and optimal
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, to either the fixed lines or pooled on-demand vehicles. This requires efficient methods for large scale task assignment and routing leveraging combinatorial optimization and machine learning
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scale task assignment and routing leveraging combinatorial optimization and machine learning. To achieve a holistic system, the developed methods will be enhanced with behavioral representations
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
geometry, algorithmic complexity, and combinatorial optimization. Our contributions are regularly published in top venues like the Conference on Artificial Intelligence (AAAI), the Symposium on Algorithms