Within the Computational Earth Sciences group, the successful candidate will be part of the Models and Workflows team, being in charge of improving and maintaining the existing software stack that is used to manage and monitor scientific experiments in different High-Performance Computing facilities, as well as providing support to the scientific groups of the Earth Sciences department.
The Models and Workflows team devotes to the research and development of methodologies and tools essential to efficiently use the variety ofcomputing resources available at the BSC and in other HPC institutions.
The team is composed of 11 members and has strong connections with the Performance and Data teams, as well as with the scientific groups.
The candidate will work within the EC-Earth climate model ecosystem, which is developed and maintained by various institutions in Europe, including the BSC.
EC-Earth3 is an established model with a solid in-house supporting software stack, which is developed following a Continuous Delivery strategy supported by cyclic pseudo-automatic testing.
EC-Earth4 is the upcoming model cycle that will bring structural changes with important involvement of the BSC. This model will run on state of the art systems such as the upcoming EuroHPC Pre Exascale systems.
Skills / Qualifications
Having a Bachelor in Computer Science, Telecommunications, Physics or related discipline.Having a Master’s or PhD degrees will be valued.
Essential Knowledge and Professional Experience
Excellent development skills and experience with UNIX / LINUX environments.Knowledge of development and execution of scientific applications on parallel computers.
Understanding of HPC computer architecture issues including CPU, accelerators, memory, interconnect, parallel I / O, and computational performance.
Additional Knowledge and Professional Experience
Experience of version control in a collaborative environment, including Git or SVN.Experience of Python programming and / or scripting languages (Bash).
Previous experience in scientific Python packages (Python Numpy, Scipy, ) will be valued.Previous experience in a scientific area related to the research position will be appreciated.
Earth system models are sophisticated tools and High-Performance Computers are complex systems. The candidate needs to have excellent problem-solving skills and a proactive attitude to address new challenges and perfect the current solutions so they gain in reliability and efficiency.
This is a specialised position so the successful candidate is expected to have a demonstrated learning capacity and the motivation to maintain a learning progression during the contract.
The BSC Earth Sciences department is an international and interdisciplinary environment, so the candidate must be fluent in English and have good written and verbal skills and the capacity to support Earth and Computational scientists.
EC-Earth is a collaborative project, so it is mandatory to be able to fulfil schedules and coordinate with members from other institutions, as well as to disseminate the advances in international workshops.