Internship – Exploring Modern Formats, Dataflows and AI in Nuclear Structure and Decay Data

Overview

The internship aims to prototype modern methods and software tools for nuclear data development, with a focus on integrating AI methods. The intern will explore automating data pipelines, implementing modern formats and metadata using AI, and developing data APIs.

Key Responsibilities

• Supporting in the creation of prototypes for converting between legacy formats and modern formats
• Assist in developing prototypes to support automated updates of nuclear structure and decay databases
• Assist in developing prototypes to support linking nuclear structure and decay data across different IAEA data applications using modern formats, enhanced metadata and data workflows

Required Experience

• Experience in the application of Python to solve problems involving or related to scientific data.
• Good communication and teamwork skills; capable of working independently and proactively.

Qualifications

• University degree in Computer Science, Data Science, Physical Sciences, Mathematics, Engineering, or a related discipline.
• Excellent programming skills in Python
• Basic knowledge of statistics and machine learning techniques.
• A good foundation in linear algebra and numerical optimization is an asset.
• Experience with databases with scientific data is an asset.

Other Details