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AI-enabled digital technologies for the resilient operation of power systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline
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ceramic fuel cells and electrolysers. These technologies are central in the transition to renewable energy and in the electrification of industrial processes. The PhD Research Fellowship will broadly
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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undergraduate students. Provide logistical support pertaining to laboratory operation for the project. Job Requirements: PhD degree in physics, mathematics, engineering or related field Strong background in
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opportunities for scientific leadership and industry engagement. Eligibility criteria Applicants hold a PhD in Computer Science, Software Engineering, Cybersecurity or a related field, have a strong background in
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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further levels of promotion as Associate and then Full Professors of Teaching as they continue their work at the university. Applicants must have either a PhD in Mathematical Sciences or a minimum of a
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Your Job: The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials
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& processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics-informed ML surrogates for efficient simulation ML-supported optimization of HPC software
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python