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Deep Learning Developer (IT-FTI-CDS-2025-113-GRAP)

CERN

Genf

Vor Ort

CHF 80’000 - 100’000

Vollzeit

Gestern
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Zusammenfassung

CERN is looking for a Data Scientist to join a groundbreaking AI collaboration focused on weather modeling and crop assessment to combat food insecurity. This opportunity offers a chance to work with state-of-the-art technology in a leading scientific organization and contribute to impactful projects.

Leistungen

Monthly stipend
Coverage by CERN's health scheme
30 days of paid leave per year
Training opportunities
Installation grants and family allowances

Qualifikationen

  • Proven experience with Machine Learning and Deep Learning frameworks.
  • Knowledge of transformer-based architectures.
  • A degree in Computer Science or related field is required.

Aufgaben

  • Join a multidisciplinary team focused on AI for crop damage assessment.
  • Use AI for weather modeling and forecasting.
  • Collaborate with international organizations on food insecurity.

Kenntnisse

Machine Learning
Deep Learning
PyTorch
Knowledge of transformer-based architectures
Earth System data
Fluency in English

Ausbildung

Master's degree in Computer Science or related field
PhD in Computer Science or related field

Jobbeschreibung

Job Description

Your responsibilities

CERN, the European Organisation for Nuclear Research, is one of the world's foremost centres for scientific inquiry. Our mission is to explore fundamental questions about the universe while advancing the boundaries of science and technology for the benefit of all.

We are announcing a new Artificial Intelligence collaboration between CERN, the World Food Program (WFP), and the Luxembourg Institute of Science and Technology (LIST). This alliance aims to leverage CERN's AI algorithms, LIST's expertise in Earth Observation (EO) and crop modelling, and WFP's program capabilities to address food insecurity and hunger issues. A primary goal will be predicting extreme precipitations, aligning with ongoing efforts like the ECMWF WeatherGenerator project.

As a successful applicant, you will join a multidisciplinary team focused on using AI for building and crop damage assessment, weather modelling, and forecasting.

Your profile

Skills:

  • Proven experience with Machine Learning and Deep Learning frameworks such as PyTorch.
  • Experience in developing, training, and optimizing Deep Learning models.
  • Knowledge of transformer-based architectures.
  • Experience with Earth System data is a plus.
  • Fluent in English, both spoken and written, with a willingness to learn French.

Eligibility criteria:

  • You are a national of a CERN Member or Associate Member State.
  • You hold a degree in Computer Science or a related field and have:
    • a Master's degree with 2 to 6 years of professional experience after graduation;
    • or a PhD with no more than 3 years of professional experience after graduation.
  • You have not previously held a CERN fellow or graduate contract.

Additional Information

Job closing date: 05.08.2025 at 23:59 CEST

Contract duration: 24 months, with possible extension up to 36 months.

Working hours: 40 hours/week

Target start date: 01-October-2025

Job reference: IT-FTI-CDS-2025-113-GRAP

Field of work: Data Science & Data Analytics

What we offer

  • A monthly stipend between 6287 and 6911 Swiss Francs (net of tax).
  • Coverage by CERN's health scheme (for yourself, spouse, and children) and membership in the CERN Pension Fund.
  • Additional benefits such as installation grants, family allowances, and travel expenses, depending on circumstances.
  • 30 days of paid leave per year.
  • Training opportunities at CERN, including language courses in English and French.

About us

CERN is probing the fundamental structure of the universe using the world's largest scientific instruments. We study fundamental particles and their interactions to understand the laws of nature. Learn more at http://home.cern.

Join us in our Quest for discovery and contribute your expertise to groundbreaking projects. Develop your skills and knowledge in a dynamic environment with world-class experts.

Begin your CERN Quest. Take Part!

Diversity is a core value at CERN, central to our success. We are committed to employing a diverse workforce.

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