Join the CAFEIN platform team at CERN and contribute to R&D on state-of-the-art machine learning, designing, implementing, and evaluating advanced algorithms end to end. Contribute to the research and development of federated learning methods, agentic AI, and applied ML solutions for tabular, image and signal data.
Requirements
- Translate real-world challenges, medical data analysis, anomaly detection, complex systems modelling, into well-defined ML problems.
- Design, implement, and evaluate state-of-the-art ML models using Python and frameworks such as PyTorch, TensorFlow, JAX, scikit-learn, and Hugging Face.
- Contribute to the research and development of federated learning methods, agentic AI, and applied ML solutions for tabular, image and signal data.
- Develop applied ML solutions for diverse domains including medical imaging, anomaly detection, and predictive maintenance.
- Perform exploratory data analysis, feature engineering, and visualisation to support model development and identify new use cases.
- Document methods, write clear reports, publish findings, and communicate results within multidisciplinary R&D teams.
Benefits
- A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree.
- 30 days of paid leave per year plus 2 weeks annual closure.
- Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
- Family, child and infant monthly allowances depending on your individual circumstances.
- A relocation package (installation grant and travel expenses) depending on your individual circumstances.
- Possibility to extend your contract up to 36 months.
- On-the-job and formal training including language classes.
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