Universiteit Leiden

Senior Research Software Engineer for Digital systems for sustainability science

Universiteit Leiden
NL Leiden, ZH, NL
Hybrid 2026-06-25
Estimated salary · Leiden
~ €63,836 - €98,945
Low
€49K
Median
€63K
High
€79K
Market in Leiden · Eurostat SES 2025

Job description

Job Description **.jobdescription td { padding:** 00px} .jobdescription \* { border: none !important; border\-width: 0 !important; font\-size: 0px!important; font\-family: custom97a1e93a03e14bab838e7 !important; color: black !important; } Senior Research Software Engineer for Digital systems for sustainability science **Job requisition Id:** 16685 **Job type:** Academic staff **Contract hours min:** 38 **Contract hours max:** 38 **Location:** Leiden **Applying is possible until:** 31 december 2026 **\#body.unify div.unify\-button\-container .unify\-apply\-now:** focus, \#body.unify div.unify\-button\-container .unify\-apply\-\#body.unify div.unify\-button\-container .unify\-apply\-now: focus, \#body.unify div.unify\-button\-container .unify\-apply\-Apply now Teaser Text The Institute of Environmental Science CML at Leiden University is looking for a Senior Research Software Engineer with a research systems and infrastructure profile. You will play a central role in developing and maintaining‑ the digital infrastructure powering CML’s work in industrial ecology, sustainability assessment, and circular economy. You will have freedom to shape a research infrastructure strategy with the support of a Junior RSE and in collaboration with the scientific staff of the institute. 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 institute 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—supporting not just individual projects, but the institute’s long\-term dig

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