As either an enthusiastic and talented early career or experienced professional, you are motivated by interdisciplinary work at the interface between the physical sciences, data science, scientific software development and high-performance computing. You can demonstrate the ability to assimilate new ideas and turn them into practical, applied techniques and a willingness to continue to learn new developments. Given the data volumes and methodology being used, you have experience of managing and organizing the parameters and results of large datasets. You have significant experience of programming in languages extensively used in science (Python, C++) and of the development of software for deployment on on-premises or cloud-based compute clusters.
The following expertise would be advantageous:
- Prior experience in the analysis and reduction of large-scale experiment data, and / or image processing.
- Expertise in high-performance computing, parallel programming on CPUs or GPUs, job schedulers and workflow.
- You have knowledge of machine learning and the willingness to learn more via a collaboration with machine learning experts.
You hold a PhD degree or equivalent practical experience in computer science or in a natural science with an emphasis in computer science, HPC or data science. You are a good listener and a strong team player with excellent communication skills and sense of responsibility, fluent in English (spoken and written), speak German (an advantage not a must) or willing to learn it.