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, including data-driven and hybrid physics-informed methods, aimed at monitoring, prognosis, and decision support for aerospace, automotive, and energy applications. Where to apply Website https
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The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
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. As students run their companies, they are exposed to theories, models, and concepts from the fields of organizational behavior, social entrepreneurship, and principles of management. They then engage
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intersection of solid mechanics, constitutive theory, and data-driven modeling, while contributing to fundamental advances in soft material mechanics and developing transferable skills applicable to a broad
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experience with process modeling with Aspen Plus Demonstrated experience with statistical analysis (i.e. sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications
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, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
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" initiatives, this field integrates automation, robotics, advanced manufacturing, integrated circuit technology, industrial engineering, complex systems modeling and optimization, and project management. It is
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the academic core and half serving in the clinical division—creates distinctive opportunities and considerations around operational alignment, technology deployment, workforce models, and compensation frameworks
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acoustic sensors. Integrating the models into a Model-Based Systems Engineering (MBSE) framework to ensure reusability and scalability. To achieve this, you will work with high-fidelity simulation tools