The goal of the Research Data Infrastructure Lab (RDI Lab) is to support our university's academics throughout the research life-cycle, with means and expertise required for them to design and materialize their research by using modern data platforms and tooling. As research matures, the accompanying complexity of the technology stack supporting the work also increases. The RDI Lab aims to offer the right technical abstraction for various research profiles by leveraging industry-hardened, but also experimental, solutions.
The RDI Lab covers a broad landscape where it is futile to 'do it all'. Therefore, we are looking for people who can smartly navigate the domain and are capable to discuss the reasoning behind several approaches with our researchers to support them in their decision-making and our platform design. The RDI Lab is a young team, with a lot of room for personal development and growth. We are looking for people who are not afraid to take initiative and are willing to take on a pioneering role in the development of our services.
The RDI Lab covers the entire research data lifecycle ranging from planning phase to data collection, analysis, publication and sharing of data with FAIR principles in mind. Over the past years, the team has focussed on establishing the foundational components such as version control systems and CI/CD (GitLab, GitHub), infrastructure for deploying applications (Azure), lab support systems (ClusterMarket), data platforms (Databricks, Microsoft Fabric), Atlassian and other essential tooling for researchers.
We are developing the Research Cockpit, a front door portal as entry point to the TU/e Research Data Infrastructure. Bringing together workflows for both project and data management across the research lifecycle. These workflows are mainly facilitated via Jira Service Management but are envisioned to integrate with a variety of applications, tools and cloud infrastructure across the Research Data Infrastructure landscape.
What are we looking for in you?
- Collaboration & communication with domain experts and researchers to bring the technical viewpoint and expertise.
- Drive development of application integrations across cloud and IT resources to facilitate workflows for research data management.
- Ability to work with stakeholders to map out system requirements in processes and translate these to technical specifications.
- Produce technical documentation, including system architecture diagrams, integration specifications and implementation guides that enable knowledge sharing and facilitate system maintainability.