Expertise is required to bridge the gap between computational research and IT services infrastructure.
A highly skilled professional will work closely with ETH researchers to offer services and solutions in scientific computing.
The role involves optimizing task scheduling for improved load balancing and resource utilization, adapting or modifying algorithms for efficient execution, and consulting, training, and supporting users on best practices.
HPC systems engineers, data scientists, research software developers, and external collaborators will benefit from your expertise.
A PhD or equivalent in Computational or Computer Science, Engineering, Physics, or a related field is required.
Proficiency in C/C++, Fortran, Python, and solid knowledge of parallel programming models are essential.
Excellent communication skills in English, with German being an asset, are necessary to convey complex technical concepts.
A service-oriented attitude is crucial to effectively enable research and scientific collaboration with ETH researchers and their partners.