A research institution is looking for a Research Software Engineer with a research systems and infrastructure profile. You will play a central role in developing and maintaining the digital infrastructure powering work in industrial ecology, sustainability assessment, and circular economy. You will have the freedom to shape a research infrastructure strategy with the support of a Junior RSE and in collaboration with scientific staff.
This includes making foundational decisions about software architecture, computing and storage environments, cloud/hybrid setups, security, and long-term data governance. Beyond technical leadership, you will help define institution-wide standards for reproducibility, collaborate closely with researchers to translate scientific needs into scalable solutions, and contribute to project acquisition through grant writing and collaborative proposals.
You will architect robust platforms and workflows that enable transparent, reproducible, and high-performance environmental research.
What you do
- Owning the technical roadmap for the software and data ecosystem: architecture, standards, and long-term sustainability.
- Designing and operating research platforms & infrastructure.
- Defining and implementing institution-wide software engineering and data management protocols for FAIR principles, metadata, documentation, versioning, licensing, and release processes.
- Leading reproducible computational pipelines (workflow engines, packaging, CI/CD).
- Mentoring junior developers/researchers; running code reviews and technical design reviews.
- Expanding collaborations with an internal computer science institute and other university initiatives on research software and data.
- Advising on and supporting computing & storage solutions; liaising with central IT and external service providers.
- Contributing to project acquisition: helping develop grant proposals, technical work packages, budgets, and risk & data management plans.
What they ask
- A PhD in computer science, software engineering, environmental informatics, AI, or a closely related field.
- Strong Python skills; additional languages/stack knowledge is a plus.
- Experience in system administration / platform engineering for research or data-intensive environments.
- Experience with software development architecture (service design, APIs, observability, reliability).
- Expertise in data governance and FAIR practices.
- Knowledge of database administration, data catalogs, and metadata standards.
- Excellent communication skills and commitment to open science, documentation, and reproducibility.
- Experience with grant writing and technical leadership in projects is a plus.
How to apply
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