Internship – AI/ML Based Text Analytics for Knowledge Management

Contribute to AI-based text analytics for process improvement and knowledge management.

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IAEA - International Atomic Energy Agency

Open positions at IAEA

Vienna (Austria)

Application deadline 3 months ago: Friday 8 May 2026 at 21:59 UTC

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Contribute to AI-based text analytics for process improvement and knowledge management.

You have:

University Degree in, or currently studying, Information Technology, Computer Science, Data Science, Nuclear Engineering, or a related field.
Demonstrated experience through a university-level project portfolio in relevant areas is considered an asset.
Excellent written and spoken English is essential; knowledge of any other IAEA official language (Arabic, Chinese, French, Russian or Spanish) is considered an asset.
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.
Fluency in any other IAEA official language (Arabic, Chinese, French, Spanish or Russian) is an asset.
Candidates must attach two signed letters of recommendation to their application.

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Describe a project you've worked on that involved text analytics or natural language processing and the results you achieved.	This question gauges your practical experience in relevant areas.	Discuss specific tasks, technologies used, and how your contributions led to successful outcomes.
What AI tools or platforms have you used, and what was your role in using them?	The interviewer wants to understand your familiarity with AI technologies and your capability in deploying them.	Pro members can see the explanation.
Can you provide an example of how you improved a process or workflow in a project?	Pro members can see the explanation.	Pro members can see the explanation.
Explain your understanding of the importance of cloud platforms in modern data processing.	Pro members can see the explanation.	Pro members can see the explanation.
Describe a challenge you faced in your studies or projects related to AI and how you overcame it.	Pro members can see the explanation.	Pro members can see the explanation.
How would you approach integrating front-end components with back-end services in an application?	Pro members can see the explanation.	Pro members can see the explanation.
Discuss your approach to collaborating with team members on a technical project.	Pro members can see the explanation.	Pro members can see the explanation.
What interests you about working in the field of nuclear safety and security?	Pro members can see the explanation.	Pro members can see the explanation.