What you'll do
You 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.
In parallel, you will contribute to R&D 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.
Your responsibilities
- Design, implement, and maintain production-quality Python software supporting reliability, availability, and maintainability (RAM) analyses for complex accelerator systems.
- Contribute to availability modelling, fault and downtime data analysis, and reliability-driven design studies across multiple accelerator domains.
- Develop, extend, and refactor modular, well-documented, and testable software frameworks that support accelerator design and validation workflows.
- Research, prototype, and help formalise software-oriented reliability methods for large-scale cyber-physical systems, including data-driven, simulation-based, and verification-oriented approaches.
- Integrate reliability models with operational data sources, simulation pipelines, and system-level workflows to support performance and design trade-off studies.
- Apply and promote modern software engineering practices, including structured version control workflows, code review, automated testing, and continuous integration.
- Collaborate with accelerator physicists, system engineers, and reliability specialists to translate engineering requirements into robust software solutions.
- Contribute to technical documentation, internal reports, and design reviews, supporting accelerator design, validation, and long-term planning activities.
Still here? Let's make a quick check about
Your profile
- Demonstrated experience developing scientific or large-scale software systems with a strong focus on code quality, robustness, maintainability, and production readiness.
- Built simulation and analysis pipelines with consideration for assumptions, uncertainties, and reproducibility.
- Conducted applied, software-driven research, including evaluating methods, prototyping solutions, validating models, and translating research into robust production-quality software.
- Derived actionable engineering insights from complex datasets through analysis, modelling, and simulation techniques.
- Contributed to collaborative engineering environments through code reviews, shared development workflows, and clear technical communication.
- Your studies focused on Computer Science, Software Engineering.
Your skills
- Advanced Python proficiency for scientific and engineering applications, producing clear, modular, reusable, well-tested, and maintainable code.
- Strong software engineering practices, including Git workflows, code reviews, automated testing, CI pipelines, API design, and documentation.
- Experienced in data analysis, modelling, and simulation using scientific Python tools such as NumPy, pandas, and SciPy.
- Skilled in analysing complex, imperfect real-world datasets, including data cleaning, validation, reproducibility, and uncertainty awareness.
- Strong technical communication and writing skills, including documentation, reports, and design contributions.
- Effective collaborator in multidisciplinary teams, while also able to work autonomously.
- Interest in research-driven problem solving, modelling approaches, and long-term scientific projects.
- Exposure to reliability, availability, risk modelling, or related domains is advantageous.
- Spoken and written English, with a commitment to learn French.
Global Benefits at CERN
Let's get you ready
Be sure to meet the eligibility criteria
- You are a national of a CERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
- By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
- You have never had a CERN fellow or graduate contract before.
- Please pay attention to the additional criteria and requirements for this specific position and mentioned above.
You will need these documents to complete your application
- Your CV (English or French)
- A copy of your most relevant diploma or a certificate of achievement from your school (if you don't yet have your paper diploma)
- Any document you consider relevant to your application