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

CERN - European Organization for Nuclear Research; Genf; Vor Ort; CHF 80’000 - 100’000; Vollzeit

Zusammenfassung

CERN seeks a skilled individual for a full-time role in AI and data science to join a multidisciplinary team. The successful applicant will work on projects focused on predictive algorithms to address food insecurity and enhance climate models. The position offers a net monthly stipend, comprehensive health coverage, and professional development opportunities.

Leistungen

Comprehensive health scheme

30 days of paid leave per year

On-the-job and formal training

Installation grant and family allowances

Qualifikationen

• Proven experience in Machine Learning and Deep Learning development frameworks.
• Professional background in Computer Science or related discipline.
• Experience with Earth System data is a plus.

Aufgaben

• Utilising AI algorithms for enhanced building damage assessment.
• Crop damage evaluation and weather modelling.
• Participating in multidisciplinary teams.

Kenntnisse

Machine Learning

Deep Learning

PyTorch

English

French (commitment to learn)

Ausbildung

Master's degree

PhD

Jobbeschreibung

• Full-time

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 thrilled to announce a new Artificial Intelligence collaboration between CERN, the World Food Program (WFP), and the Luxembourg Institute of Science and Technology (LIST). This strategic alliance aims to harness CERN's AI algorithms, LIST's expertise in AI for Earth Observation (EO) and crop modelling, and WFP's program capabilities to address issues related to food insecurity and acute hunger. In particular, prediction of extreme precipitations would be one of the first objectives of the projects, in line with broader state of the art efforts, such as the ongoing ECMWF WeatherGenerator project.

As a successful applicant, you will join a multidisciplinary team dedicated to utilising AI algorithms for enhanced building damage assessment, crop damage evaluation, and weather modelling and forecasting.

Your profile

Skills:

• Proven experience in Machine Learning and Deep Learning development frameworks such as PyTorch.
• Demonstrated experience in developing, training, and optimising Deep Learning models.
• Familiarity with transformer-based architectures.
• Experience with Earth System data is a plus.
• Spoken and written English, with a commitment to learn French.
• You have a professional background in Computer Science or related discipline (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.

Additional Information

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

Working hours: 40 hours per week

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

Field of work: Data Science & Data Analytics

What we offer

• A monthly stipend ranging between 6287and 6911Swiss Francs per month (net of tax).
• Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
• Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.
• 30 days of paid leave per year.
• On-the-job and formal training at CERN as well as in-house language courses for English and/or French.

About us

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace. Join world-class subject matter experts on unique projects, in a Quest for greater knowledge and deeper understanding.

Begin your CERN Quest. Take Part!

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.