Duration
12 months
Internships
The IAEA accepts a limited number of interns each year. The internships are awarded to persons studying towards a university degree or who have recently received a degree (see Internship web pages for further details).
The purpose of the programme is:
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To provide interns with the opportunity to gain practical work experience in line with their studies or interests, and expose them to the work of the IAEA and the United Nations as a whole;
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To benefit the IAEA's programmes through the assistance of qualified students specialized in various professional fields.
The duration of an internship is normally not less than three months and not more than one year.
Organizational Setting
The Department of Safeguards carries out the IAEA's duties and responsibilities as the world's nuclear inspectorate, supporting global efforts to stop the spread of nuclear weapons. The primary role of the Department is to develop and implement IAEA safeguards to ensure that there is no diversion of declared nuclear material from peaceful activities and no indications of undeclared nuclear material or activities in a State as a whole.
The Department comprises nuclear safeguards inspectors, responsible for carrying out inspections and verifications of all-safeguards relevant information for nuclear facilities in over 180 States; and technical staff responsible for a wide range of activities including: developing concepts and approaches for implementing safeguards; developing and maintaining safeguards equipment; providing analytical and laboratory services for sample analysis; collecting, evaluating and analysing safeguards-relevant information; providing information and communication technology infrastructure and services; and providing programme coordination support.
The Division of Information Management (SGIM) implements state of the art methodologies and techniques for the collection, processing and analysis of a range of safeguards-relevant information, including declarations submitted by States, evaluations resulting from the analysis of samples or measurements collected during infield activities, and information from open sources, including nuclear trade-related data and satellite imagery. Staff perform data validation and complex information analysis and evaluation to support infield activities and provide key input to the State evaluation process.
Main Purpose
Are you passionate about data science and eager to apply your skills to real-world challenges in an international organization? The Safeguards Division of Information Management is seeking a data science and analytics intern with great analytical skills and strong interest in machine learning, particularly in the areas of large language models, multimodal models and generative AI. Join our team and contribute to the development of cutting-edge data science solutions.
As a data science and analytics intern, you will have the opportunity to work alongside experienced data scientists to support analysts and subject matter experts in the collection and validation of safeguards relevant information. This involves a wide range of tasks, including training and evaluating models across different data types, ensuring explainability and robustness, while also exploring and leveraging latest Artificial Intelligence advancements.
Functions / Key Results Expected
As an intern within the SGIM Innovation Team, you will support the enhancement of analytical capabilities and be provided with a high level of professional development. Your tasks will include the following:
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Building rapid prototypes and proof of concepts to determine fit and usability
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Continuously improving machine learning models, including but not limited to text and image analysis, classification, similarity search, and named entity recognition
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Interacting with business users to define the scope and business case
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Developing and applying technologies such as machine learning, and deep learning algorithms to enable advanced analytics product functionality
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Identifying valuable data sources and improve efficiency in collection, processing and analysis tasks
Qualifications and Experience
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University degree in data science, computer science with a relevant specialization, or a related field such as applied mathematics, statistics or computational science.
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Demonstrated skills in analytic language Python
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Experience in machine learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.) and understanding of large language model and multimodal model concepts
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Knowledge of popular machine learning libraries and frameworks, such as PyTorch, Transformers, and Hugging Face
Applicant Eligibility
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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.
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Candidates may apply up to one year after the completion of a bachelor's, master's or doctorate degree.
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Candidates must not have previously participated in the IAEA's internship programme.
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Good written and spoken English essential; fluency in any other IAEA official language (Arabic, Chinese, French, Spanish or Russian) an asset.
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Candidates must attach two signed letters of recommendation to their application.