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11th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Hardware-Aware Deep Learning Model Optimization Apply for this job See
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vertical devices, it’s crucial to ensure uniform current flow across the entire device area. Structural modifications like current spreaders, channel regrowth or optimized electrode designs help mitigate
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improve overall task efficiency. Topics may include autonomous mission planning, resource-aware scheduling, multi-drone coordination, optimization-based decision-making, and integration of robotic
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environment. Key research Objectives: AI Innovation (Taxonomic Identification): Developing and optimizing deep-learning architectures (e.g., YOLO) for the automated detection and classification of nocturnal
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projects. 9. The position being advertised will perform the following specific duties: a) Implementation and optimization of assisted reproduction protocols, including techniques for gamete collection and
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-dovrolis.html https://www.tudelft.nl/en/eemcs/the-faculty/departments/software-technology/networked-systems N. Mhaisen, G. Iosifidis, On the Dynamic Regret of Following the Regularized Leader: Optimism with
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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop
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NTNU and the application process here. About the position This PhD position will be hosted at the Department of Engineering Cybernetics (ITK), holding peak competences in decision-making, optimization
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, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with the activities of the Norwegian Center on AI for Decision (aiD