PhD, Master’s & Postdoc Opportunities in Computational Science in South Korea

This postdoctoral position at the CNRS in Toulouse focuses on the formation and control of magnetic hopfions . The project is centered on understanding the mechanisms behind hopfion formation and using theory to interpret experimental results. The researcher will develop micromagnetic and atomistic models to study these topological magnetic structures. The work combines theoretical magnetism, condensed matter physics, and scientific computing, with an emphasis on building models that connect mic...

This fellowship is based in the U.S. Food and Drug Administration’s Center for Biologics Evaluation and Research, in the Office of Biostatistics and Pharmacovigilance in Silver Spring, Maryland. The project sits at the intersection of bioinformatics, structural biology, and AI/machine learning, with an emphasis on improving scientific computing capabilities for biological data analysis. The fellow will work on developing novel algorithms and adapting existing tools to compute, analyze, and inter...

At the University of Amsterdam’s GRAPPA Institute, this postdoctoral project sits at the intersection of theoretical astroparticle physics, cosmic-ray transport, and high-energy neutrino astronomy. The position is embedded in the NWO-funded OMEN project, which combines theoretical modelling with KM3NeT data analysis to study the origin of the most energetic neutrinos. The selected researcher will lead the theory side of the project, developing numerical models of cosmic-ray propagation and inter...

[Home tuition fees plus an annual tax-free stipend for eligible students.] This PhD studentship at the University of Exeter explores how machine learning can be used to model the building blocks of the weather forecast in a more interpretable, efficient, stable and robust way. The project starts from a key challenge in modern machine-learning weather prediction: although ML weather models can outperform traditional approaches on some measures, they may be difficult to explain and can struggle ou...

Rowan University’s Department of Mathematics is offering fully funded PhD positions in applied mathematics through the BioComp Group, led by Dr. Guansheng Li. The project focuses on multiscale modeling of blood flow and red blood cell mechanics. Doctoral researchers will investigate biological and fluid-mechanical processes across multiple scales, combining mathematical and computational approaches with scientific machine learning. The work also incorporates high-performance computing and integr...

This PhD position is based at the Department of Information Technology, Uppsala University , where the research environment is described as international and strongly connected to both research and education. The department is large and interdisciplinary, with a substantial community of teachers and PhD students, providing a setting in which the doctoral candidate will work alongside experienced colleagues in computational science. The project is centered on the development of computational and ...

This PhD project addresses a core challenge in semiconductor metrology: recovering nanoscale physical information from limited, noisy, and low-resolution images. The work focuses on developing a physics-informed machine learning approach that combines physical simulation of the measurement process with inverse reconstruction methods, aiming to infer hidden properties of modern chip structures efficiently and reliably. The project is situated at ARCNL, an institute dedicated to fundamental resear...

This Research Fellow role sits in the Department of Software Systems and Cybersecurity within Monash University’s Faculty of Information Technology. The successful candidate will join the Scalable Quantum Systems Labs, directed by Professor Muhammad Usman, and contribute to application-focused quantum algorithm development in a collaborative research environment. The project is oriented toward practical quantum computing outcomes and aims to bridge theoretical foundations with domain-specific ap...

The Numerical Analysis group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position focused on efficient structure-preserving finite element methods for time-dependent PDEs . The project asks how numerical simulations can be designed so that they do not merely approximate physical laws, but preserve important mathematical and physical structure exactly. You will work on the construction of structure-preserving discretizations for time-dependent partial...