Deep Learning Developer (IT-CE-CDS-2026-137-GRAP)

Job Descriptionbr/br/pFoundation models represent one of the most powerful and promising advancements in Deep Learning, and their application to scientific domains is a rapidly evolving area of research. /ppAt CERN's IT-CE group, we are exploring the development of a foundation model tailored to particle physics: one capable of interpreting the behavior of particles within High Energy Physics (HEP) detectors and supporting a wide range of tasks relevant to experimental data processing. /ppThis work is carried out in close collaboration with a multidisciplinary team of experts from leading institutes across Europe in the context of TURING, a a EC funded project /a. /pp As a successful candidate, you will contribute to the design and training of transformer-based architectures using data from calorimeters, specialised detectors that measure particle energy in collider experiments. /ppYour work will involve investigating methodologies such as self-supervised learning to enable multi-task capabilities, while optimising for computational efficiency. /ppWe are looking for candidates with a strong background in Computer Science or a closely related field. Experience with Deep Learning, transformer models, or scientific data is highly desirable. This position is available immediately. /ppstrongYour responsibilities: /strong /pulliTake an active role within the TURING project, leading the performance evaluation and use case validation tasks. /liliDeveloping a robust prototype capable of generalising across multiple detector use cases. /liliContributing to tightening the collaborations with the CERN experimental physics community on the topic of foundation models for HEP. /li /ulpstrongYour profile: /strong /pulliPhD in Data Science, Mathematics or Physics. /liliProven experience developing, training, and deploying deep learning models in production environments, with hands-on expertise in neural network architectures, large-scale data processing, model optimisation, and performance evaluation. /li /ulpuSkills: /u /pulliStrong proficiency in Python and deep learning frameworks (PyTorch and/or TensorFlow), machine learning algorithms, data analysis libraries (NumPy, Pandas), GPU-based training, software engineering best practices, Git version control, Docker, and MLOps tools for experiment tracking and model deployment. /liliSpoken and written English, with a commitment to learn French. /li /ulpuEligibility criteria: /u /pulliYou are a national of a a CERN Member or Associate Member State /a. /liliYou have a professional background in Data Science, Mathematics or Physics (or a related field) and have either:ullia strongMaster's degree with 2 to 6 years /strong of post-graduation professional experience; /lilior a strongPhD with no more than 3 years /strong of post-graduation professional experience. /li /ul /liliYou have never had a CERN fellow or graduate contract before. /li /ulbrAdditional Informationbr/br/pJob closing date: strong at 23:59 CEST. /strong /ppContract duration: 24 months, with a possible extension up to 36 months maximum. /ppWorking hours: 40 hours per week /ppJob flexibility: Hybrid /ppTarget start date: 01-November-2026 /ppThis position involves: /pulliStand-by duty, when required by the needs of the Organization. /liliWork during nights, Sundays and official holidays, when required by the needs of the Organization. /li /ulpJob reference: IT-CE-CDS- -GRAP /ppField of work: Data Science, AI Analytics /ppBenchmark job: - Research Physicist /p pstrongGlobal Benefits /strong /pulliA monthly stipend between Swiss Francs per month (tax free) depending on your degree. /lili30 days of paid leave per year plus 2 weeks annual closure. /liliCoverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. /liliFamily, child and infant monthly allowances depending on your individual circumstances. /liliA relocation package (installation grant and travel expenses) depending on your individual circumstances. /liliPossibility to extend your contract up to 36 months. /liliOn-the-job and formal training including language classes. /li /ulpstrongOverview of CERN - Discover a world where the impossible is made possible! /strong /ppAt CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. /ppEvery day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. /ppIf you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! strongTAKE PART! /strong /ppstrongMore information about us, here: /stronga strongcareers.cern /strong /a /p