A research institution is looking for a motivated Research Software Engineer (RSE) with experience in full-stack development, data visualization, and modern software engineering practices to turn scientific insights into reliable and user-friendly software. In this role, you will help design, build, and maintain the next generation of industrial ecology research tools that support sustainability, circular economy analysis and decision making, as well as reproducible science across the institute.
You will work closely with researchers to help create dashboards, APIs, and visual analytics that communicate scientific results to academic users, policymakers, and the wider public. Your contributions will directly empower transparent, open, and reproducible research for sustainability decision making.
What you will do.
- Building and maintaining scientific software, web applications and dashboards for research dissemination and policy communication (e.g., research databases and web applications)
- Supporting the development and maintenance of data pipelines and reproducible workflows for environmental databases and analytics.
- Collaborating with researchers to scope features, translate research needs into user-friendly tools, and ensure usability and accessibility.
- Supporting deployment in cloud and/or open environments (e.g., containerized services), working with the senior RSE on infrastructure alignment.
- Promoting good data and software management for FAIR and open science practices, version control (Git/GitHub), testing (pytest), packaging, documentation, etc.
What they ask
- MSc in computer science, data science, AI, environmental informatics, or related field.
- Good programming skills with Python and JavaScript/TypeScript. Other programming languages are a plus.
- Experience with front-end frameworks (e.g., React) and data visualization (e.g., D3/Plotly).
- Experience building back-end APIs (e.g., FastAPI, Django, Flask) and integrating databases (SQL/NoSQL).
- Experience contributing to open-source projects.
- Familiarity with containerization (e.g., Docker) and reproducibility tools.
- Excellent collaboration skills, a service mindset, and enthusiasm for environmental applications and open science.
Practical
The institution offers an initial one-year contract, with an option to extend to a permanent contract based on performance. There is a comprehensive benefits package, including holiday allowance and an end-of-year bonus, and an attractive pension scheme. Options are available for sabbaticals, paid parental leave, and an individual choices model for benefits such as an advantageous sports subscription or bicycle scheme.
Hybrid working options are available, and a home-working allowance and support for creating a comfortable home office are provided. The work environment is flexible, supportive, and stimulating for professional and personal growth.
How to apply
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