About Us
The Data Science Lab is a Core Facility of the University of Bern providing support to researchers from all faculties in diverse areas of data science, including Machine Learning and AI, Research Software development, Computer Vision, Natural Language Processing, Digital Humanities, and High Performance Computing.
We Offer
Your activity will be split into 40% support specifically for a new image processing platform currently in development and 40% support for other DSL projects and internal processes.
The Virtual Imaging at University of Bern (VIBE) platform is a project funded via the UniBE digitalization initiative and is a joint project of DSL and the Microscopy Imaging Center (MIC), another Core Facility. It aims to give interactive access to High-Performance Computing (HPC) resources of the University for researchers active in imaging via a remote desktop complete with bioimage processing applications.
Responsibilities
- Take over the technical concept and implementation of the VIBE desktop, defining how application containers are built and deployed to the desktop.
- Refine and adapt the solution in close collaboration with the VIBE and HPC teams for a productive release and beyond.
- Convey the concept to team members and VIBE desktop users, and offer support to them.
- Collaborate with researchers on projects ranging from one‑off support queries to long‑running projects in research IT and research software engineering.
- Contribute to the development and maintenance of DSL’s internal IT infrastructure.
Qualifications
- Experience with Linux Systems (absolute requirement).
- Background as Linux DevOps or Systems Engineer.
- Familiarity with Linux System Administration.
- Experience with script automation, in particular Bash and Python.
- Experience with git and GitHub (PRs, Actions, etc.).
- Familiarity with containers (development, deployment, maintenance).
- Good communication skills, especially with people with no IT expertise.
- Ability to take initiative, propose solutions and new directions.
- Follow good development practices, e.g., clearly documenting work.
- Exposure to HPC environments and software such as SLURM, Open OnDemand.
- Exposure to Research Software Engineering.
- Familiarity with the Python ecosystem (scientific stack, conda, pip, etc.).
- Exposure to Microsoft Azure.
Actual classification and salary depend on diploma and professional experience.
Benefits
- Collaborative environment and ambitious team.
- Interdisciplinary collaboration.
- Inspiring work environment.
- Access to cutting‑edge technology and innovation.
