• Dedicated project for computational astrophysics at ASIAA since 2001
• Development of in-house codes with state-of-the-art numerical methods as well as using and improving the community codes remains one of the key objectives
• Targeted physics regimes range from Newtonian hydrodynamics to relativistic magnetohydrodynamics
• Dedicated to harnessing new computational architectures
• Optimized for challenging astrophysical systems requiring innovative and dedicated methodology development

The ASIAA Computational Astrophysics (CompAS) Project 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.

Eligibility:
• Strong college-level applied mathematics, physics, fluid mechanics, and numerical techniques
• Proficiency in Python, C/C++, or Fortran
• Knowledge on interactive plotting or visualization tools
• Strong ability to read, write, and communicate effectively in English is required.

If you are a motivated student passionate about computational astrophysics and eager to contribute to groundbreaking research, this is your chance! Apply now to join the forefront of numerical exploration in astrophysical systems.