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Developing and maintaining beam instrumentation systems at CERN, coordinating AI/ML applications for accelerators and data analysis. Deterministic real-time software engineering experience required. 30 days paid leave, comprehensive health insurance.
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Anforderungen
- Master's Degree, PhD, or equivalent experience
- Software engineering experience in deterministic real-time software
- AI and machine learning techniques application
- Familiarity with large language models and AI-assisted software engineering, or agent-based systems
- Basic knowledge of electronics-based digital acquisition hardware
- Software development for embedded and real-time systems with/without OS
- Conceptualising, designing, and developing new methods for data exploitation
- Development and deployment of ML/AI solutions for data analysis, diagnostics, and optimisation
- Re-engineering, refactoring, integration, and porting of existing software
- Testing, diagnosing, and optimisation of software
- Delivering high quality work on time and fulfilling expectations
- Working well in groups and readily fitting into a team
- Readily absorbing new techniques and working practices
- Sharing knowledge and expertise freely and willingly with others
- Spoken and written English or French, with commitment to learn the other
Aufgaben
- Maintain and further develop existing beam instrumentation systems
- Coordinate group efforts in applying AI and ML to accelerator instrumentation
- Coordinate group efforts in applying AI and ML to data analysis
- Coordinate group efforts in applying AI and ML to software development
- Coordinate group efforts in applying AI and ML to system operations
- Collaborate with experts to understand needs and gather requirements
- Collaborate with operators to understand needs and gather requirements
- Collaborate with multidisciplinary teams to understand needs and gather requirements
- Develop effective software solutions
- Contribute to adopting modern AI-assisted software development tools
- Contribute to adopting modern AI-assisted software development practices
- Maintain existing beam instrumentation software systems
- Support existing beam instrumentation software systems
- Continuously improve existing beam instrumentation software systems
- Design new real-time software systems
- Develop new real-time software systems
- Test new real-time software systems
- Commission new real-time software systems
- Maintain new real-time software systems
- Design upgraded real-time software systems
- Develop upgraded real-time software systems
- Test upgraded real-time software systems
- Commission upgraded real-time software systems
- Maintain upgraded real-time software systems
- Contribute to knowledge sharing within the team
- Supervise students or early-career talent
- Mentor students or early-career talent
- Enhance beam instrumentation system performance through redesign
- Enhance beam instrumentation system performance through refactoring
- Enhance beam instrumentation system performance through comprehensive testing
- Enhance beam instrumentation system performance through safe recommissioning
- Enhance beam instrumentation system maintainability through redesign
- Enhance beam instrumentation system maintainability through refactoring
- Enhance beam instrumentation system maintainability through comprehensive testing
- Enhance beam instrumentation system maintainability through safe recommissioning
- Enhance beam instrumentation system reliability through redesign
- Enhance beam instrumentation system reliability through refactoring
- Enhance beam instrumentation system reliability through comprehensive testing
- Enhance beam instrumentation system reliability through safe recommissioning
- Design machine learning solutions for beam instrumentation applications
- Develop machine learning solutions for beam instrumentation applications
- Deploy machine learning solutions for beam instrumentation applications
- Optimize machine learning solutions for beam instrumentation applications
- Apply machine learning for anomaly detection
- Apply machine learning for predictive maintenance
- Apply machine learning for signal classification
- Apply machine learning for automated diagnostics
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- 30 days paid leave
- 2 weeks annual closure
- Comprehensive health insurance
- CERN Pension Fund membership
- Family, child and infant monthly allowances
- Relocation package
- Possibility to extend contract
- Eligibility for indefinite contract tenure
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Zur Originalanzeige bei CERNÜber das Unternehmen
The company is the European Organisation for Nuclear Research, focusing on probing the fundamental structure of the universe through particle physics.
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