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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 8 hours ago
of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-hierarchical-graph-n… Requirements Research FieldComputer scienceYears
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30 Dec 2025 Job Information Organisation/Company AMBER laboratory Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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candidates who: Completed or are about to complete a Master’s degree in Computer Science, Electrical and Computer Engineering, Informatics Engineering, or related fields; Are passionate about embedded systems
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active. The PhD will be supervised by Prof. Wouter Saeys and Dr. Bart De Ketelaere, with support from industrial partners. A (nearly) completed Master’s in Engineering (Bioscience, Electrical/Computer
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funds through FCT – Foundation for Science and Technology. Scientific Area: Electrical Engineering, Electronic Engineering, Biomedical Engineering, Computer Engineering, or related fields. Project
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conference presentations Keep up to date with current developments in the research field through regular literature surveys Education Requirement: PhD or MD, with research training. Applicants who expect
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. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions