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for a duration of 4 years. The optimal starting date for this position is September 2026.
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Development and optimization of experimental workflows to support scientific and user-driven projects Development of custom automation solutions to address specific project needs Support for system integration
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) distributional generalization, transfer learning, causality Multi-objective settings and alignment, RL theory Statistical learning theory, optimization (e.g., implicit bias) Robustness (broadly defined), privacy
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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vibration, strain, and environmental sensors with MCU-class edge AI capabilities. Optimize sensing front-ends, power management, and communication interfaces for minimal standby and inference energy. On-chip
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species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large datasets that include over 110,000 tree
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, you will design, prototype, and optimize advanced simulation algorithms—particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based
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(LLE), and diffusion coefficients—key data for designing and optimizing chemical processes. Because conventional experiments are often time- and resource-intensive, particularly for multicomponent