IAEA Programs Internship - Machine Learning for the International Nuclear Information System Recordings

Main Purpose

Tasks / Key Results Expected

• Implementing appropriate Machine Learning algorithms for indexing INIS records.
• Work on INIS and Library applications, the Nuclear Information Section internal/external web sites, etc.
• Verify the quality of the subject analysis and abstracts received from Member States, correcting errors and/or re-index documents as required.
• Propose actions for improving the quality of the INIS Collection and for increasing effectiveness of the subject analysis techniques and retrieval capabilities.

Knowledge, Skills and Abilities

• Design and develop Machine Learning and deep learning systems.
• Run machine learning tests and experiments.
• Implement appropriate Machine Learning algorithms.
• Data analytics.

Qualifications and Experience

• University degree in Software Engineering, Management Information Systems or a related field.
• Ability to write robust code in Python.
• Knowledge or experience in one of the following is an asset: Understanding of data analysis, data modelling and software architecture; Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn).

Applicant Eligibility

• Candidates must be a minimum of 20 years of age and have completed at least three years of full-time studies at a university or equivalent institution towards the completion of a first degree.
• Candidates may apply up to one year after the completion of a bachelor's, master's or doctorate degree.
• Candidates must not have previously participated in the IAEA's internship programme.
• Excellent written and spoken English essential; fluency in any other IAEA official language (Arabic, Chinese, French, Russian, Spanish) an asset.
• Candidates must attach two signed letters of recommendation to their application.