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interdisciplinary research environment at the interface of computational mechanics, mechanical/civil engineering, and scientific machine learning. The PhD candidate will also have opportunities to present their work
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, and advanced machine learning in the engineering domain. Generative AI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase
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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning
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machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with
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UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive Neuroscience Apply for this job See advertisement About the position Position
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https://pubs.acs.org/doi/full/10.1021/acssuschemeng.5c0419 The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and
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following criteria: PhD in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field Demonstrated research excellence, evidenced by peer-reviewed publications Expertise in
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develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing
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incorporate clinical, lifestyle, and nutritional factors to build predictive models through advanced bioinformatics and machine learning. By identifying molecular signatures that distinguish responders from non
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27 Jan 2026 Job Information Organisation/Company KU LEUVEN Department Electrical Engineering Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile