PhD Positions in N-Dimensional Point Cloud Data Management and Adaptive Meshfree Urban Wind Simulation at Delft University of Technology Delft University of Technology in Netherlands

Delft University of Technology is offering PhD positions in the area of N-Dimensional Point Cloud Data Management and Adaptive Meshfree Urban Wind Simulation. This cross-disciplinary research opportunity focuses on developing scalable, data-driven methods for handling large LiDAR datasets, utilizing high performance computing (HPC) and deep learning techniques to enable adaptive point density for urban wind simulation. The project is ideal for candidates interested in computational science, urban simulation, and advanced data management.

Key research areas include N-dimensional point cloud data management, meshfree simulation methods, computational fluid dynamics (CFD), and the application of deep learning to large-scale environmental datasets. The work will involve programming in C++ and Python, and candidates will have the opportunity to collaborate with experts in urban wind simulation and data-driven modeling at TU Delft.

Applicants should possess a relevant master's degree and demonstrate strong skills in CFD, C++, Python, and high performance computing. Experience with LiDAR data and adaptive point density methods is highly desirable. The PhD program is a 4-year, fully funded position, offering a monthly stipend and tuition coverage, though specific funding details are not provided in the announcement.

Interested candidates should apply through the Delft University of Technology careers portal or the provided link, ensuring that their application materials highlight relevant experience and skills. The application deadline is July 31, 2025. This is an excellent opportunity for those passionate about computational science, environmental modeling, and innovative data management techniques.