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

Futureshaper.com; Genf; Vor Ort; CHF 80’000 - 100’000; Vollzeit

Zusammenfassung

CERN is seeking a candidate for an AI collaboration project focused on food security and weather forecasting. Ideal applicants will possess a Master's or PhD in Computer Science, with experience in machine learning and deep learning frameworks. The role offers a stipend, health benefits, and opportunities for training. Closing date for applications is 05.08.2025.

Leistungen

Comprehensive health scheme

Pension Fund membership

30 days of paid leave per year

On-the-job and formal training including language courses

Installation grants and family allowances

Qualifikationen

• Proven experience in Machine Learning and Deep Learning frameworks.
• Master's degree + 2-6 years or PhD + max 3 years of experience.
• Background in Computer Science or related field required.

Aufgaben

• Join a multidisciplinary team using AI for building damage assessment and crop evaluation.
• Utilize AI algorithms for weather modelling and forecasting.

Kenntnisse

Machine Learning

Deep Learning

PyTorch

Transformer-based architectures

Earth System data

English proficiency

Willingness to learn French

Ausbildung

Master's degree

PhD

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 excited 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. One of the initial objectives of this project is the prediction of extreme precipitation events, aligning with broader efforts such as the 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 frameworks such as PyTorch.
• Experience in developing, training, and optimising Deep Learning models.
• Familiarity with transformer-based architectures.
• Experience with Earth System data is a plus.
• Proficiency in spoken and written English; willingness to learn French.

Eligibility criteria:

• You are a national of a CERN Member or Associate Member State.
• You have a background in Computer Science or a related field and meet one of the following:
• a Master's degree with 2 to 6 years of professional experience after graduation;
• 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 per 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 comprehensive health scheme (for yourself, your spouse, and children) and membership in the CERN Pension Fund.
• Additional benefits may include installation grants, family, child, and infant allowances, and travel expenses reimbursement.
• 30 days of paid leave per year.
• On-the-job and formal training at CERN, including language courses in English and/or French.

About us

At CERN, physicists and engineers probe 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 collide at near light speed—providing insights into the laws of nature. Learn more at http://home.cern.

Join us on a journey of discovery. Bring your expertise to our projects and develop your skills alongside world-class experts. Begin your CERN Quest and take part in advancing scientific knowledge.

Diversity has been a core value since CERN's inception and is vital to our success.