This PhD position at Tallinn University of Technology offers an exciting opportunity to advance the prediction of marine extremes using machine and deep learning methods, statistical analysis, and mathematical modeling. The research is situated within the Department of Civil Engineering and Architecture, specifically the Road Engineering and Geodesy Research Group, and is co-supervised by the Laboratory of Wave Engineering in the Department of Cybernetics. The project aims to develop an integrated framework for analyzing and forecasting marine extremes—such as sea level, sea surface temperature, sea ice, and surface waves—across coastal and offshore regions. These predictions are crucial for engineering design, coastal management, and navigation, especially in the context of climate change.

The Baltic Sea region provides unique access to long-term, high-resolution marine datasets, including in situ observations, remote sensing products, and hydrodynamic model outputs. By unifying these datasets through a geoid-based vertical reference system, the research will enable consistent and accurate analysis of marine variables. The project emphasizes the integration of data-driven machine and deep learning approaches with mathematical constraints to improve the accuracy, consistency, and predictive skill of marine forecasts. Tasks include harmonizing multi-source datasets, applying statistical methods (such as extreme value analysis), developing convolutional neural network models, investigating links between large-scale climate variability and regional marine processes, and validating model performance using independent data sources and established error metrics.

The candidate will be expected to explore and apply machine learning, signal processing, statistical, and computational techniques throughout the project, and participate in field campaigns. The research group is actively involved in international collaborations, such as the Baltic Sea Chart Datum 2000 and European Space Agency projects, and offers a dynamic environment with ongoing European and national research projects. Additional funds are available for research trainings, conferences, and international mobility, with stays abroad of up to three months.

Applicants must hold a university degree (M.Sc.) in geodesy or a related discipline (Earth Sciences, Marine Engineering, Mathematics, or Physics). Advanced programming skills (Python, C++, MATLAB), strong writing and analytical abilities, and a good command of English are required. Skills in data analysis, mathematics, statistics, and machine learning are preferred, with training provided as needed. The position encourages applications from qualified women to increase diversity in Geomatics and Engineering. Shortlisted candidates may be asked to submit a research plan. The application deadline is March 24, 2026.

To apply, submit your CV, motivation letter, degree certificates, research plan, and passport copy via the TalTech PhD admission portal and email them to [email protected]. For further information, visit TalTech PhD admission and review the supervisors' academic profiles. The research group looks forward to receiving applications from motivated candidates interested in advancing marine prediction science and engineering.