2026 Project Description

Explorations of Numerical Codes and Solvers in Astrophysical Systems 2026

Supervisors

Hsien Shang
Find out more about supervisors on ASIAA website

Task Description and Goals

We develop hydrodynamic and magnetohydrodynamic codes and solvers for astrophysical problems in the ASIAA CompAS project. We invite students to explore and validate state-of-the-art numerical codes and solvers based on fundamental numerical methods and physics that are currently being developed, commissioned, and deployed. These codes and solvers range from Newtonian to General Relativistic regimes, covering young stars to black holes. The students will gain hands-on experience testing the accuracy and performance of numerical methods for HD, MHD, and particle problems, using them to validate and benchmark their results.

We seek highly motivated students interested in numerical methods, code development techniques, scientific verification, potential applications, and the exploration and use of machine learning/AI approaches. Actual projects will be assigned commensurate with students' academic background, preparation, and readiness. The experiences gained will be highly valuable for future career development in science, engineering, computing, astronomy, and astrophysics.

The Computational Astrophysical Sciences (CompAS) group invites applications for an exciting student opportunity to explore and validate cutting-edge numerical codes and solvers designed for astrophysical systems. This program offers hands-on experience in computational astrophysics, focusing on hydrodynamics (HD), magnetohydrodynamics (MHD), and particle-based simulations, spanning Newtonian to General Relativistic regimes.

You will

• Work with state-of-the-art numerical methods and physics-based solvers under active development.
• Engage in projects covering astrophysical phenomena such as young stars, black holes, and plasma physics.
• Test and benchmark the performance of advanced numerical methods for HD, MHD, and particle problems.
• Explore emerging fields such as machine learning (ML) and artificial intelligence (AI) applications in computational astrophysics.
• Tailored project assignments based on academic background and readiness.

You will

• Gain valuable numerical methods, code development, and scientific verification skills.
• Build a strong foundation for science, engineering, computing, or astrophysics research careers.
• Collaborate with leading scientists at ASIAA.

Required Background

Fourth year in college or above; students with advanced mathematics and numerical skills, Master's or beginning PhD level.