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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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will work under the direction of Prof. Abhishek Halder and will conduct interdisciplinary research in the areas of stochastic control, optimal mass transport, and the Schrödinger bridge. They will pursue
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) Machine Learning and Combinatorial Optimization (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The positions are
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optimize custom low-cost SDL (Self-Driving Lab) hardware systems, with a heavy focus on additive manufacturing and 3D printing technologies. Modify and optimize 3D printer firmware, including motion control
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powerful way to understand and control chaos. By gently coupling a simulation with measurements from the real flow, the simulation can synchronise with reality, effectively reconstructing the entire flow
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the Previzo project, whose objective is to develop an artificial intelligence based decision support tool to optimize water resource management, in particular by anticipating water related crises and conflicts
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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. Specifically, this project leverages industrial communication networks, distributed controllers, AI models, and state-of-the-art IBR-based infrastructure to optimize EV charging and energy systems. By
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About the Opportunity JOB SUMMARY The Associate Vice President - Infrastructure leads several teams to ensure optimal performance, availability and scalability of Northeastern University’s IT
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, resolution, and programming of HVAC-related controls issues. The role manages equipment commissioning, develops and monitors energy-saving processes, and sustains optimal HVAC performance throughout acute care