Deep Learning Entwickler (IT-CE-CDS-2026-137-GRAP) — CERN
NeuCHF 63'000 - 107'500
CERN · Geneva, GENEVA, Switzerland (GE)
- Ort
- Genève
- Vertrag
- full-time
- Veröffentlicht
- Gestern
LohnCHF 63'000 - 107'500
Rollenüberblick
of CERN
Discover a world where the impossible is made possible!
- of CERN
- Discover a world where the impossible is made possible!
- Your responsibilities:
- Take an active role within the TURING project, leading the performance evaluation and use case validation tasks.
- PhD in Data Science, Mathematics or Physics.
- Proven 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. Skills:
Hauptaufgaben
- Your responsibilities:
- Take an active role within the TURING project, leading the performance evaluation and use case validation tasks.
- Developing a robust prototype capable of generalising across multiple detector use cases.
- Contributing to tightening the collaborations with the CERN experimental physics community on the topic of foundation models for HEP.
Wichtige Anforderungen
- PhD in Data Science, Mathematics or Physics.
- Proven 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. Skills:
- Strong 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.
- Spoken and written English, with a commitment to learn French. Eligibility criteria:
- You are a national of a CERN Member or Associate Member State .
- You have a professional background in Data Science, Mathematics or Physics (or a related field) and have either:
- a Master's degree with 2 to 6 years of post-graduation professional experience;
- or a PhD with no more than 3 years of post-graduation professional experience.
- You have never had a CERN fellow or graduate contract before.
- Job closing date: 15.09.2026 at 23:59 CEST.
- Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Hybrid Target start date: 01-November-2026 This position involves:
Bewerbungsprozess
- Foundation 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.
- At 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.
- This work is carried out in close collaboration with a multidisciplinary team of experts from leading institutes across Europe in the context of TURING, a EC funded project .
- 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.
- Your work will involve investigating methodologies such as self-supervised learning to enable multi-task capabilities, while optimising for computational efficiency.
- We 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.
Unternehmen und Kontext
- Stand-by duty, when required by the needs of the Organization.
- Work during nights, Sundays and official holidays, when required by the needs of the Organization. Job reference: IT-CE-CDS-2026-137-GRAP
- Field of work: Data Science, AI & Analytics Benchmark job: 100020 Research Physicist Global 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.
Weitere Details
- Proven 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.
- Spoken and written English, with a commitment to learn French. Eligibility criteria:
- Contract duration: 24 months, with a possible extension up to 36 months maximum. Working hours: 40 hours per week Job flexibility: Hybrid Target start date: 01-November-2026 This position involves:
- Work during nights, Sundays and official holidays, when required by the needs of the Organization. Job reference: IT-CE-CDS-2026-137-GRAP
- Field of work: Data Science, AI & Analytics Benchmark job: 100020 Research Physicist
Notizen und Originalinhalt
- Your profile:
- Spoken and written English, with a commitment to learn French.
- Eligibility criteria:
- Contract duration: 24 months, with a possible extension up to 36 months maximum.
- Working hours: 40 hours per week
- Job flexibility: Hybrid
- Target start date: 01-November-2026
- This position involves:
- Work during nights, Sundays and official holidays, when required by the needs of the Organization.
- Job reference: IT-CE-CDS-2026-137-GRAP
Fragen zu dieser Stellenanzeige
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