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travel Applicants must be eligible to enroll on a PhD program at Politecnico di Torino (POLITO) (https://www.polito.it/en/education/phd-programmes-and-postgraduate-school ) Desired skills: Knowledge in
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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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well as close collaboration with the local industry. With approximately 50 researchers including PhD students, postdocs, and faculty on all levels, we are one of the largest academic software engineering research
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Qualifications: MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field. Solid experience in programming and system architecture design (e.g., Python), workflow
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? No Offer Description We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based
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Number AE2025-0514 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0514.pdf CALL FOR GRANT
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to apply. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to … Where to apply Website https://www.academictransfer.com/en/jobs/356799/phd
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be found at https://www.iit.edu/applied-math . Illinois Tech is a private Ph.D.-granting research university with world- renowned programs in engineering, architecture, the sciences, humanities
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Recognised Researcher (R2) Positions PhD Positions Application Deadline 13 Feb 2026 - 16:00 (Europe/Warsaw) Country Poland Type of Contract To be defined Job Status Full-time Hours Per Week 40 Offer Starting
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
on this foundation, this project will advance distributed and lightweight LLM architectures to enable resource-efficient spectrum allocation across highly dynamic and interference-prone 6G aerial environments. As LLM