What you'll do
Help shape the future of healthcare AI, where innovation meets trust.
At CERN, you will develop cutting-edge AI solutions that help prevent disease, improve prediction, and deliver trustworthy healthcare insights. You will work on technologies that make it possible to unlock the value of sensitive data without ever moving or exposing it, enabling collaboration where privacy is essential.
As part of this role, you will help develop and deploy CAFEIN®, CERN’s federated AI platform powering major European healthcare initiatives, including UMBRELLA and AIM-SAFE. You will design advanced federated learning algorithms and secure distributed AI systems that allow models to learn from data across institutions while keeping the data exactly where it belongs.
Recognised as a lighthouse example of “data stays, AI collaborates”, CAFEIN® combines state-of-the-art federated learning with CERN’s unique strengths in trust, open science, GDPR compliance, and international collaboration. The result is a pioneering framework that is redefining how AI can advance healthcare while safeguarding privacy.
Join us to build AI that learns globally, protects locally, and improves lives.
Your responsibilities
- Develop and test federated learning software and algorithms.
- Implement and evaluate privacy-preserving techniques, including differential privacy and homomorphic encryption.
- Develop tools to optimise data ingestions and assess the quality of data and images.
- Design and run machine-learning experiments using programming languages like Python with libraries as TensorFLow, PyTorch, or scikit-learn.
- Analyse data using statistical methods and visualisation for exploratory data analysis (EDA).
- Implement and benchmark state-of-the-art machine-learning methods, optimising federated learning for utility, communication efficiency, energy use and scalability.
- Design and deploy Internet of Things (IoT)-based federated learning architectures.
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Your profile
- Demonstrated experience developing and deploying federated learning solutions in real-world environments.
- Proficiency in federated learning techniques, including aggregation algorithms, communication and network architecture, security and privacy features.
- Hands on experience with network security, including certificates, encryption, access control, authorisation, and authentication.
- Proven experience in coordinating or technically leading machine-learning deployments.
- Excellent knowledge and hands on experience with software life-cycle tools and procedures (proficiency with Git and GitLab).
- Excellent knowledge of programming techniques and languages: Python, deep learning framework (e.g. TensorFlow, Keras, PyTorch, Jax or scikit-learn).
- Experience in data analysis in a health care environment would be an asset.
- Master's degree or equivalent relevant experience in the field of Machine Learning, Computer Science or Data Science or a related field.
Your skills
- Knowledge and application of software life-cycle tools and procedures.
- Knowledge of programming techniques and languages.
- Testing, diagnosing and optimisation of software.
- Knowledge of best practices for developing secure software.
- Administration of computing systems, upgrades, application of security patches, system and data migrations, backup and recovery.
- Identifies, defines and assesses problems, taking action to address them; delivers high quality work on time and fulfils expectations.
- Cooperates constructively with others in the pursuit of team goals; balances personal goals with team goals.
- Ensures that information, procedures and decisions are appropriately documented.
- Shares knowledge and expertise freely and willingly with others; coaches others to ensure knowledge transfer.
- 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, Lithuanian, Latvian, Cypriot, Croatian and Turkish nationals, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
- You have relevant qualifications and professional experience.
- If you have previously held a Staff contract at CERN, you will not be eligible for these positions.
- 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)
- Any document you consider relevant to your application