Job Descriptionbr/br/pYou will work at the interface between Software and Reliability Engineering, contributing to the technical design of the next generation of particle accelerators, by developing and maintaining Python-based software frameworks for availability modelling, fault data analysis, and reliability-driven design across multiple accelerator subsystems. /ppIn parallel, you will contribute to RD of software-oriented reliability solutions for large-scale accelerator systems, exploring new modelling approaches, data-driven methods, and verification / validation techniques tailored to complex cyber-physical infrastructures. /ppstrongYour responsibilities: /strong /pulliDesign, implement, and maintain production-quality Python software supporting reliability, availability, and maintainability (RAM) analyses for complex accelerator systems. /liliContribute to availability modelling, fault and downtime data analysis, and reliability-driven design studies across multiple accelerator domains. /liliDevelop, extend, and refactor modular, well-documented, and testable software frameworks that support accelerator design and validation workflows. /liliResearch, prototype, and help formalise software-oriented reliability methods for large-scale cyber-physical systems, including data-driven, simulation-based, and verification-oriented approaches. /liliIntegrate reliability models with operational data sources, simulation pipelines, and system-level workflows to support performance and design trade-off studies. /liliApply and promote modern software engineering practices, including structured version control workflows, code review, automated testing, and continuous integration. /liliCollaborate with accelerator physicists, system engineers, and reliability specialists to translate engineering requirements into robust software solutions. /liliContribute to technical documentation, internal reports, and design reviews, supporting accelerator design, validation, and long-term planning activities. /li /ulpstrongYour profile: /strong /pulliDemonstrated experience developing scientific or large-scale software systems with a strong focus on code quality, robustness, maintainability, and production readiness. /liliBuilt simulation and analysis pipelines with consideration for assumptions, uncertainties, and reproducibility. /liliConducted applied, software-driven research, including evaluating methods, prototyping solutions, validating models, and translating research into robust production-quality software. /liliDerived actionable engineering insights from complex datasets through analysis, modelling, and simulation techniques. /liliContributed to collaborative engineering environments through code reviews, shared development workflows, and clear technical communication. /li /ulpuSkills: /u /pulliAdvanced Python proficiency for scientific and engineering applications, producing clear, modular, reusable, well-tested, and maintainable code. /liliStrong software engineering practices, including Git workflows, code reviews, automated testing, CI pipelines, API design, and documentation. /liliExperienced in data analysis, modelling, and simulation using scientific Python tools such as NumPy, pandas, and SciPy. /liliSkilled in analysing complex, imperfect real-world datasets, including data cleaning, validation, reproducibility, and uncertainty awareness. /liliStrong technical communication and writing skills, including documentation, reports, and design contributions. /liliEffective collaborator in multidisciplinary teams, while also able to work autonomously. /liliInterest in research-driven problem solving, modelling approaches, and long-term scientific projects. /liliExposure to reliability, availability, risk modelling, or related domains is advantageous. /liliSpoken and written English, with a commitment to learn French. /li /ulpuEligibility criteria: /u /pulliYou are a national of a a CERN Member or Associate Member State /a. /liliYou have a professional background in Computer Science, Software Engineering (or a related field) and have either:ullia strongMaster's degree with 2 to 6 years /strong of post-graduation professional experience; /lilior a strongPhD with no more than 3 years /strong of post-graduation professional experience. /li /ul /liliYou have never had a CERN fellow or graduate contract before. /li /ulbrAdditional Informationbr/br/pJob closing date: strong at 23:59 CEST. /strong /ppContract duration: 24 months, with a possible extension up to 36 months maximum. /ppWorking hours: 40 hours per week /ppJob flexibility: Fully Onsite /ppTarget start date: 01-September-2026 /ppJob reference: TE-MPE-CB- -GRAP /ppField of work: Software Engineering and IT /ppBenchmark job: - Computing Engineer /p pstrongGlobal Benefits /strong /pulliA monthly stipend between Swiss Francs per month (tax free) depending on your degree. /lili30 days of paid leave per year plus 2 weeks annual closure. /liliCoverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. /liliFamily, child and infant monthly allowances depending on your individual circumstances. /liliA relocation package (installation grant and travel expenses) depending on your individual circumstances. /liliPossibility to extend your contract up to 36 months. /liliOn-the-job and formal training including language classes. /li /ulpstrongOverview of CERN - Discover a world where the impossible is made possible! /strong /ppAt CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. /ppEvery day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. /ppIf you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! strongTAKE PART! /strong /ppstrongMore information about us, here: /stronga strongcareers.cern /strong /a /p