Nuclear Data & AI Internship - Modern Formats & Pipelines

International Atomic Energy Agency; Wien; Vor Ort; EUR 6.700 - 13.000; Vollzeit

Zusammenfassung

The International Atomic Energy Agency offers an internship in the Nuclear Data Section to prototype modern methods and software tools for nuclear data development with emphasis on integrating AI methods. The intern will explore automating data pipelines, adopting modern formats and enhanced metadata, and developing data APIs for dissemination.

Applicants should have a university degree in a relevant field and strong Python programming skills, plus knowledge of statistics and machine learning.

Qualifikationen

• University degree in Computer Science, Data Science, Physical Sciences, Mathematics, Engineering, or a related discipline.
• Experience applying Python to solve problems involving scientific data.
• Excellent programming skills in Python.
• Basic knowledge of statistics and machine learning techniques.
• Foundation in linear algebra; numerical optimization is an asset.
• Good communication and teamwork; capable of working independently.

Aufgaben

• Prototype modern formats and software tools for nuclear data development with emphasis on AI integration.
• Develop prototypes to automate updates of nuclear structure and decay databases.
• Develop prototypes to link nuclear data across IAEA applications using modern formats and metadata.
• Create data pipelines and data APIs for dissemination of nuclear data.

Kenntnisse

Python

Data Science

Machine Learning

Linear Algebra

Ausbildung

University degree in Computer Science or related field

Tools

Scientific Databases

Jobbeschreibung

The International Atomic Energy Agency offers an internship in the Nuclear Data Section to prototype modern methods and software tools for nuclear data development with emphasis on integrating AI methods. The intern will explore automating data pipelines, adopting modern formats and enhanced metadata, and developing data APIs for dissemination.

Applicants should have a university degree in a relevant field and strong Python programming skills, plus knowledge of statistics and machine learning.