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based on machine learning tools for energy problems related to prediction. The application domains include both industry and climate changes. The first two months will be devoted to the study of
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14 Mar 2026 Job Information Organisation/Company Politecnico di Milano Research Field Information science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 16 Apr 2026 - 12:00...
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be involved in the development and implementation of machine
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of machine learning
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, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of machine learning
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Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 00:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 15 Sep 2026 Is
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://www.polimi.it/en/bandi-per-i-ricercatori Requirements Research FieldAgricultural sciences » OtherEducation LevelPhD or equivalent Specific Requirements Italian or foreign applicants, who have a PhD or equivalent
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of signal processing and machine learning algorithms for the extraction of acoustic, prosodic, and semantic parameters from voice recordings. Where to apply Website https://aunicalogin.polimi.it/aunicalogin