Internship for Technology Disciplines

• Software development of algorithms in Python for use in large HPC environments, including job scheduling, environment containerization, and I/O optimisation for shared filesystems.
• Optimize and scale Python code leveraging PyTorch, JAX, and Numba for multi-GPU and multi-node execution where applicable.
• Develop and maintain reproducible compute environments using containers (Singularity, Docker) and environment managers (conda).
• Basic IT system administration of Linux-based local compute infrastructure (laptops and server).

• Develop Python algorithms for job scheduling, containerization, and I/O optimization in HPC environments.
• Optimize and scale Python code using PyTorch, JAX, and Numba for multi-GPU and multi-node execution.
• Create and maintain reproducible compute environments with containers (Singularity, Docker) and environment managers (conda).
• Perform basic IT system administration t...