Science IT Consultant

University of Zurich, Switzerland

Updated: about 2 months ago
Science IT (S3IT)
Science IT Consultant
60-100 %, permanent position
The Science IT (S3IT) unit is part of the Information Technology department at the University of Zurich, with the goal of supporting research use of IT across the university. This includes consulting, research and development in scientific computing and research data management, 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 ongoing support of research groups using the IT infrastructure services provided by Science IT
  • Advise researchers in how they can best solve their problems looking at the 'IT'-part of their research
  • Play an active part in specialized projects which require research 'IT' expert knowhow, as a developer, system administrator, consultant or project manager
  • Expand the knowledge base within Science IT by becoming an expert in one of the 'IT'-domains required for the job (Cloud, Scaling, ML, AI, Distributed Computing, Clusters, HPC, etc.)
  • Work as Science IT expert directly in research projects

Your profile
  • University degree, preferably PhD, in Computational Science, Computer Science, or a related field
  • Experience in scientific computing (e.g. statistical, numerical and machine learning methods) and understanding of research IT needs
  • Extensive knowledge of software programming (e.g. Python, R)
  • Good Linux systems skills and comfortable with the command line interface
  • Research data management and computational reproducibility, e.g. git, conda, singularity, docker, pip
  • Proactive, structured and flexible way of working
  • Service-oriented attitude
  • An excellent command of English

Experience in the following areas will be considered an advantage
  • Reseach programming using single or multi-GPU architectures (e.g. CUDA, PyTorch, TensorFlow)
  • Parallelization and distributed computing in a High Performance Computing (HPC) environment (e.g. Slurm cluster and cloud computing)
  • Analysis and visualisation environments like Jupyter and RStudio
  • Web application frameworks (e.g. Django, Flask)
  • Storage, backup, archival systems and operations, databases (e.g. MariaDB, PostgreSQL, SQLite)
  • Good communication skills in German

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.
Place of work
Winterthurerstrasse 190, Zürich, Switzerland
Start of employment
Employment start date to be mutually agreed.
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