Postdoc: Human–AI Teaming & Agentic AI Research

ELLIS Unit Norway

Alicante

Sur place

EUR 42 000 - 54 000

Plein temps

Il y a 2 jours
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Résumé du poste

ELLIS Alicante invites applications for a two-year postdoctoral position in Human–AI Teaming and Agentic AI, focusing on collaboration between humans and AI agents in complex multi-agent environments. The position is housed at ELLIS Alicante and leverages Horizon Europe funding to advance foundational and empirical research.

The successful candidate will conduct empirical studies, controlled experiments, and longitudinal investigations when appropriate, examining trust, cognitive load, fairness,

Responsabilités

  • Human–AI teaming and evaluation: Investigate and develop adaptive methods for effective collaboration between humans and AI agents in multi-agent environments, tailoring communication, explanations, task allocation, and autonomy to human needs, capabilities, and preferences.
  • Research and dissemination: Publish and present research findings at leading international conferences and journals, and collaborate with researchers across ELLIS Alicante, the ELLIS network, and external research partners.
  • Training and project contributions: Contribute to the organization of an annual Training School on Trustworthy and Socially Aware Agentic AI, scientific project reporting, and the supervision and mentoring of PhD students.
  • The research may also address complementary topics, including norm-aware agent behavior and cooperation in multi-agent environments.

Description du poste

ELLIS Alicante invites applications for a two-year postdoctoral position in Human–AI Teaming and Agentic AI, focusing on collaboration between humans and AI agents in complex multi-agent environments. The position is housed at ELLIS Alicante and leverages Horizon Europe funding to advance foundational and empirical research.

The successful candidate will conduct empirical studies, controlled experiments, and longitudinal investigations when appropriate, examining trust, cognitive load, fairness,

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