17 development "https:" "https:" "https:" "University of Houston" PhD positions in Estonia
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computational approaches that integrate process-induced stresses into the structural design stage. Project goals The objective of this PhD project is to develop a topology optimization framework for LPBF
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, M.O. et al. (2025). Enhancing audit quality in non-Big 4 firms: the role of remote auditing and audit staff capabilities. Journal of Financial Reporting and Accounting, 23(2), 700-720. https://doi.org
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of guaranteeing thermal comfort throughout all seasons. The project will be developed by integrating parametric urban design with microclimate simulations and measurements, GIS and Digital Twin technologies, and
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=VRczgu0AAAAJ ) and Patric Jannasch (https://scholar.google.com/citations?hl=en&user=OEN-Xa8AAAAJ ). The successful candidate works in a team, but also develops her/his own research approaches and ideas in
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coastal area. This will allow more robust estimates of long-term trends in eutrophication indicators, support the development of more targeted measures to achieve good environmental status of the Baltic Sea
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conducting simulator-based experiments, collecting and analyzing human performance and psychophysiological data, and developing models of human–machine collaboration for safe and efficient navigation
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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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threats affecting critical maritime operations in seaports and onboard vessels Designing and developing a prototype AI-based Maritime Security Operations Centre (SOC) Building a Digital Twin model of a
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for Smart Cities of Tallinn University of Technology (TalTech) invite applicants for a 4-year PhD position in the field of responsible AI governance for smart city development. The project focuses on how
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Research Group Description The proposed research aims to investigate and develop advanced artificial intelligence methodologies for battery life management in V2X-integrated Software-Defined Vehicles (SDVs