11 modal-analysis-artificial-intelligence PhD positions at Tallinn University of Technology
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2 Oct 2025 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Materials engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Country Estonia Application Deadline 26...
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This interdisciplinary PhD project examines the responsible and ethical integration of artificial intelligence (AI) in the design and delivery of complex, high-contact service systems, including education, healthcare, and
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of electrical systems and system analysis to find possibilities for electrification and decarbonization diagnostics and monitoring of equipment and systems cyber security, 5G data communications, and artificial
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transportation systems. Among the countless open research problems, collective perception is a relevant topic involving artificial intelligence functionalities. The candidate for this position will contribute
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microstructural characterization, property testing, and failure analysis on the LPBF-processed functional materials A detailed investigation on the post-processing necessity and thermal treatment of the LPBF
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, complemented by quantitative LCA analysis. The outcome will be a decision support system (DSS) and methodology guidelines that support policy makers, industry, and vulnerable communities in making evidence‐based
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incorporated to ensure that the model outputs are applicable for an SMR-based nuclear power programme. Validation, sensitivity analysis and policy recommendations. To validate model results, benchmarks will be
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manufacturing, thermomechanical simulations, and process modeling (prior experi- ence in finite element analysis, computational thermodynamics, or residual stress modeling will be advantageous) Solid
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analysis by testing various in-situ applications such Energy Saving Devices. The collected data could be used to build a digital twin. The aim of this PhD project is to demonstrate clean maritime systems
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, or closely related topics. Interest in data analysis and computational modelling. Interest in software (cloud platforms/data visualization) and related applications to integrate real-world energy data. Very