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found here: https://ut.ee/en/home Subject area and duties: The candidate for the PhD position is expected to conduct research on the synthesis of novel monomers and polymers for high-performance
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or interest in AI/ML, data analytics, digital twins, or cyber-physical systems Good programming skills (e.g., Python, C++, or similar) Ability to work independently and as part of an international research team
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beneficial: Working knowledge of statistics and usage of MATLAB or other software for statistical analysis; Experience with machine learning and data mining. Good Estonian language skills Application procedure
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at TalTech´s web-page: https://taltech.ee/en/phd-admission . The deadline to submit the application is: 28.02.2026 The following documents should be enclosed with the application: Applicant CV Motivation
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: The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission A motivation letter describing your research interests Curriculum Vitae (CV) Degree certificates as
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publishing scientific results in high-quality scholarly journals. Language skills: Good command of the English language (speaking and writing) is essential The successful PhD candidate is expected to work full
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geometric urban coastline. Natural Hazards and Earth System Sciences, 13(11), 3049–3061. https://doi.org/10.5194/nhess-13-3049-2013 Stockdon, H. F., Holman, R. A., Howd, P. A., & Sallenger, A. H., Jr. (2006
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the eastern coast of the Baltic Sea. Journal of Marine Systems., 129, 96–105, https://doi.org/10.1016/j.jmarsys.2013.02.001 Soomere, T., Viška, M., 2014. Simulated wave-driven sediment transport along
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systems, or a related field Clear interest in industrial diagnostics, AI, and hardware/software co-design Good command of English (spoken and written) Strong analytical and documentation skills Experience
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8 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Department School of Engineering, Department of Electrical Power Engineering and Mechatronics Research Field