The Science IT (S3IT) unit is part of the Central IT department at the University of Zurich, with the goal of supporting research use of IT across the university. This includes consulting, engineering and development in scientific computing, data science and digital transformation, as well as providing access to cutting edge high-performance and cloud computing infrastructures. We are looking for an enthusiastic Science IT Consultant to enhance our team. The person in this position will have an important role in directly providing the support needed to successfully use IT in research.
Your responsibilities
- Onboarding and continuing support of research groups using the computing and expert services provided by Science IT
- Advise researchers in how they can best solve problems with the 'IT'-part of their research
- Play an active part in specialized projects which require research 'IT' expert knowhow, as a consultant, web developer, system administrator, software engineer, data scientist or project manager
- Expand the knowledge-base within Science IT by becoming an expert in a broad area of 'IT' domains required for the job (Frontend, AI, Distributed Computing, HPC, Cloud, GPU, etc)
- Work as Science IT consultant directly as part of research projects
Your profile
- University degree, preferably PhD, in Computational Science, Computer Science, or a related field
- Experience in scientific computing (e.g. statistical and numerical methods, machine learning) and understanding of research IT needs
- Experience with software programming used in scientific computing (e.g., Python, R)
- Experience with web frameworks (such as Django, Flask or FastAPI), JavaScript frontend tools (React, Vue, Svelte) and web programming languages (HTML, CSS, JavaScript)
- Experience with Linux and familiarity with the command line interface
- Experience in using software engineering and computational reproducibility tools (e.g., Git, Conda, Docker, Singularity, venv, pip)
- Proactive, structured, and flexible in working style
- Service-oriented attitude
- An excellent command of English
Experience in the following areas will be considered an advantage:
- High performance computing (HPC, Slurm) and cloud computing
- Administration of IT infrastructure (virtual machines, cloud or cluster systems), including storage, backup, archiving systems and operations
- Development environments such as Jupyter or RStudio and visualization libraries like R Shiny, Dash or Panel
- Databases (such as MariaDB, PostgreSQL, SQLite, MongoDB)
- Good communication skills in German
- industry or research software engineering experience
What we offer
We offer compensation according to the high living standards of Zurich, flexible working hours and a dynamic work environment with friendly colleagues. Diversity and inclusion are important to us.
Place of work
Start of employment
Employment start date to be mutually agreed.
Further information
Dr. Philip Shemella