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, they will take an active role in designing and commissioning a pioneering Self‑Driving Lab, a next‑generation autonomous research platform that will integrate Machine Learning and Bayesian optimization
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19th June 2026 Languages English English English We are looking for a PhD candidate at the Department of Engineering Cybernetics PhD Candidate in Data-driven optimization for Energy Communities
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a lack of a coherent and mathematically rigorous methodology for how health, environmental and population exposure and vulnerability data can be combined to optimally issue warnings in order to
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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connected research environment at the Department of Engineering Cybernetics, renowned for its leading expertise in optimization, control, and artificial intelligence for cyber-physical systems. Are you
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effect on bulk functionality. In this PhD project, we dig deeper to obtain a better molecular understanding of the effects from different extraction methods. To accommodate this, we will explore protein
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learning approach to translating multi-modal inspection data into remaining useful life predictions; and (3) create a dynamic techno-economic model linking real-time condition assessments to optimal
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is to understand and optimize PPA properties using a simulation strategy that spans from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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fellows and students, maintaining laboratory equipment, contributing to in vivo experiments in small animals (mice), and leading optimization studies using existing biological data within the CTRC. Propose