Open vacancy for researcher in trustworthy AI

2026-03-19 · Source: AI Watch | News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, AI Ethics & Policy · Depth: Expert, quick

Summary

The Joint Research Centre (JRC) is seeking an AI researcher for its algorithmic transparency unit in Seville, Spain, with an application deadline of April 17, 2026. This role focuses on science for policy activities concerning human behavior and machine intelligence, specifically addressing recent developments in AI, recommender systems, and their societal impacts, including minor protection. The position requires supporting EU AI policies through system-centric and user-centric AI auditing and evaluation, such as benchmarking, red-teaming, and user studies, with an emphasis on trustworthy AI principles like fairness, transparency, human oversight, and social/environmental impact. Candidates need in-depth knowledge of modern AI systems, including content recommendation, information retrieval, general-purpose AI, generative AI, and large language models, along with a PhD or equivalent research experience in AI evaluation.

Key takeaway

For AI Scientists and Research Scientists interested in policy, this JRC vacancy offers a direct path to influence EU AI regulations. Your expertise in AI auditing, trustworthy AI principles, and practical evaluation of recommender and generative AI systems is directly applicable. Consider applying by April 17, 2026, to contribute to the development of responsible AI frameworks.

Key insights

The JRC seeks an AI researcher to advance EU policy on trustworthy AI, focusing on auditing and societal impact.

Principles

• AI policy requires system-centric and user-centric evaluation.
• Trustworthy AI encompasses fairness, transparency, and human oversight.

Method

The JRC's approach to AI policy involves benchmarking, red-teaming, and user studies for system and user-centric evaluation.

In practice

• Apply AI evaluation skills to policy development.
• Focus on minor protection in AI system design.

Topics

• AI Auditing
• Trustworthy AI
• Recommender Systems
• Generative AI
• Large Language Models

Best for: AI Scientist, Research Scientist, AI Researcher, AI Ethicist, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Watch | News.