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Genf, Genf, Schweiz myScience VollzeitSoftware Engineer in Distributed Systems (EP-ADP-CO-2025-37-GRAP)CERNPublished 6 March 2025Closing Date 31 March 2025Workplace Geneva, Lake Geneva region, SwitzerlandCategory Computer SciencePosition Engineer / TechnicianJob DescriptionYour responsibilitiesWe are offering a position in the Rucio development team at CERN. Rucio is an open-source scientific...
AI Expert on Anomaly Detection for Distributed Data Networks
vor 2 Wochen
Introduction
We are seeking a highly skilled and motivated Artificial Intelligence Expert to join our Frontier Technology group in the IT Department. The successful candidate will work on the development of advanced anomaly detection algorithms based on Deep Learning. These algorithms will be crucial for monitoring and optimizing the Worldwide LHC Computing Grid (WLCG) network infrastructure and, more in general, different aspects of computing workloads deployment optimization in WLCG. Additionally, there is an exciting opportunity to apply these techniques to the field of humanitarian operations, thanks to a recent collaboration between CERN and the World Food Program on Artificial Intelligence.
Functions
In the IT Department Frontier Technology group, you will:
- Develop and deploy anomaly detection algorithms using Deep Learning techniques.
- Collaborate with network engineers and data scientists to understand the requirements and challenges of the WLCG network infrastructure.
- Analyze large-scale network data to identify patterns and anomalies.
- Optimize algorithms for real-time performance and accuracy.
- Conduct experiments and validate the effectiveness of the developed algorithms.
- Explore and apply new anomaly detection techniques to humanitarian operations in collaboration with the World Food Program.
- Document and present findings to stakeholders and contribute to scientific publications.
Stay updated with the latest advancements in AI, Deep Learning, and network monitoring technologies
Qualifications- Master's degree or PhD or equivalent relevant experience in the field of Computer Science, Artificial Intelligence, Machine Learning or a related field.
Experience:
- Proven experience in developing and deploying Deep Learning models, particularly for anomaly detection.
- Solid understanding of CERN network protocols and infrastructure.
Technical competencies:
- Knowledge of programming techniques and languages: strong programming skills in Python and familiarity with Deep Learning frameworks such as TensorFlow or PyTorch
- Administration of networks
- Design of networks
Behavioural competencies:
- Solving Problems: assimilating large quantities of information, identifying key issues and formulating conclusions clearly and concisely. Seeking and integrating other points of view when tackling an issue; consulting experts in the field and undertaking benchmarking
- Achieving Results: having a structured and organised approach towards work; being able to set priorities and plan tasks with results in mind Delivering high quality work on time and fulfilling expectations Driving work / projects along and seeing them through to their conclusion
- Demonstrating Accountability: working conscientiously and reliably; delivering on promises Taking responsibility for own actions and decisions
- Working in Teams: building and maintaining constructive and effective work relationships Seeking to help other team members when own work is done; supporting others
- Communicating Effectively: delivering presentations in a structured and clear way; adjusting style and content to the audience; responding calmly and confidently to questions
Language skills:
Spoken and written English: ability to understand and speak the language in professional contexts. Ability to draw-up technical specifications and/or scientific reports and to make oral presentations. The willingness to acquire French will be an asset.
Additional InformationEligibility and closing date:
Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.
This vacancy will be filled as soon as possible, and applications should normally reach us no later than 29.04.2025
Employment Conditions
Contract type: Limited duration contract (2 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.
Working Hours: 40 hours per week
This position involves:
- Work during nights, Sundays and official holidays, when required by the needs of the Organization.
Job grade: 6-7
Job reference: IT-FTI-CDS-2025-53-LD
Benchmark Job Title: Computing Engineer
Please make sure you have all the documents needed to hand as you start your application, as once it is submitted, you will not be able to upload any documents or edit your application further
