Pensum: 100 %
Tätigkeit
Designing, developing, and maintaining data-analysis tools and pipelines for the Swiss LISA Data Center, ensuring their integration and inter-operation within the LISA Distributed Data Processing Center.
Prototyping and implementing data-science approaches and applications for LISA data.
Planning and deploying HPC infrastructure for large-scale gravitational-wave data analysis for LISA.
Supporting additional Space projects where software engineering and data expertise are required.
Your primary goal will be to contribute software and technical support to the Swiss LISA Data Center and the international LISA Distributed Data Processing Center, facilitating the scientific success of the LISA mission. You will engage with an interdisciplinary, diverse team working on the future of gravitational-wave science, focused on providing innovative solutions, technical development, strategic planning, and attention to the long-term cultural impact of our field.
Profile
A: A research scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning applications, demonstrated through contributions to open source projects and production software for scientific data analysis.
B: A computer scientist or software engineer specialised in algorithmic optimisation and data structures, with demonstrated accomplishments in the context of astrophysical and/or space-science data processing.
The successful candidate will hold an MSc or greater degree in computer science or engineering, or a PhD in applied mathematics, physics, or related fields, with extensive computational experience. Excellent English communication skills are also required, as well as strong interpersonal skills, openness to feedback, and the ability to communicate effectively with colleagues from diverse backgrounds.
Furthermore, the candidate will have a strong background in the following, as evidenced through publications, open-source software projects, or proven contributions to existing data-analysis systems and infrastructures:
Software development for scientific data analysis, with a focus on signal processing and/or survey datasets.
ML & AI techniques and applications.
HPC and orchestration of scientific data processing workflows.
Parallel computing (GPU & CPU).
good software engineering practices for scientific software (version control, testing, continuous integration, documentation).
Desirable skills include:
Experience with space science/astrophysical datasets.
Scientific data management, curation, and documentation.
Data-visualisation strategies and applications.
Development and deployment of graphical user interfaces.