Computational Astrophysics PhD: GPU HPC & ML in Cosmology

University of Zurich; Zürich; On-site; CHF 90,000 - 110,000; Full time

Job summary

The University of Zurich invites applications for a research position in astrophysics and computational methods. The role focuses on flagship simulations, emulators, and multi-probe cosmology, using GPU-accelerated supercomputers and ML models to generate mock catalogues for Euclid.

Candidates should hold a master's in physics or astronomy; strong interest in HPC, machine learning or numerical astrophysics; programming experience is an asset.

Qualifications

• Master's degree in physics, astronomy or related field is required by start date.
• Candidates with strong interest in HPC, ML or numerical astrophysics encouraged to apply.

Responsibilities

• Develop and run flagship simulations using GPU-accelerated supercomputers.
• Build emulators: ML models predicting cosmological statistics.
• Model baryonification and multi-probe cosmology pipelines for synthetic sky maps.

Skills

High-performance computing

Machine learning

Numerical astrophysics

Programming experience

Education

Master's degree in physics/astronomy or related field

Job description

The University of Zurich invites applications for a research position in astrophysics and computational methods. The role focuses on flagship simulations, emulators, and multi-probe cosmology, using GPU-accelerated supercomputers and ML models to generate mock catalogues for Euclid.

Candidates should hold a master's in physics or astronomy; strong interest in HPC, machine learning or numerical astrophysics; programming experience is an asset.