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

IAEA; Wien; Vor Ort; EUR 11.000 - 16.000; Vollzeit

Zusammenfassung

The IAEA in Austria offers an internship to prototype AI-enhanced methods for nuclear data development. You will explore automated data pipelines, modern formats, and data APIs to disseminate information.

Applicants should have strong Python skills, basic statistics/ML knowledge, and good English; university study in a related field is required. The role emphasizes teamwork and independent proactive work.

Qualifikationen

• University degree in Computer Science, Data Science, Physics, Mathematics or Engineering, with at least three years of full-time study towards a first degree.
• Experience applying Python to solve scientific data-related problems.
• Basic knowledge of statistics and machine learning.

Aufgaben

• Prototype modern data pipelines for nuclear data development.
• Develop prototypes to update nuclear structure and decay databases.
• Link nuclear data across IAEA applications using modern formats and enhanced metadata.

Kenntnisse

Python

Machine Learning

Statistics

Communication

Teamwork

English

Ausbildung

Computer Science or related field

Tools

Python

Git

Jobbeschreibung

Organizational context: The Department of Nuclear Sciences and Applications (NA) supports Member States in utilizing nuclear techniques for development and environmental protection. The Division of Physical and Chemical Sciences, including the Nuclear Data Section (NDS), focuses on research and development in nuclear sciences. NDS is crucial for generating and maintaining high-quality nuclear and atomic databases, serving users globally through its website and interactive tools.

Job purpose: This internship aims to prototype modern methods and software tools for nuclear data development, with a strong emphasis on integrating Artificial Intelligence (AI) techniques. The intern will explore and implement methods for automating data pipelines, managing nuclear data, adopting modern formats and enhanced metadata using AI, and developing data APIs for dissemination. The role provides an opportunity to gain practical experience in nuclear data management, processing tools, database principles, and data dissemination interfaces, contributing to the advancement of nuclear science and engineering applications.

Responsibilities: The intern will support the creation of prototypes for converting legacy data formats to modern ones. Responsibilities include assisting in the development of prototypes for automated updates of nuclear structure and decay databases. Additionally, the intern will help develop prototypes to link nuclear structure and decay data across different IAEA applications, utilizing modern formats, enhanced metadata, and advanced data workflows.

Education: A university degree in Computer Science, Data Science, Physical Sciences, Mathematics, Engineering, or a closely related discipline is required. Candidates must have completed at least three years of full-time university studies towards a first degree.

Work experience: Experience in applying Python to solve scientific data-related problems is required. Excellent programming skills in Python are essential. Basic knowledge of statistics and machine learning techniques is also necessary.

Skills: Excellent programming skills in Python; experience with scientific data applications; basic knowledge of statistics and machine learning; good communication and teamwork skills; ability to work independently and proactively; proficiency in English.

Required languages: English

Desired languages: Arabic, Chinese, French, Russian, Spanish