Postdoctoral Researcher in Human–AI Teaming and Agentic AI

ELLIS Unit Alicante Foundation; España; Presencial; EUR 38 000 - 52 000; Tempo integral

Resumo da oferta

ELLIS Alicante Foundation invites applications for a two-year postdoctoral position in Human–AI Teaming and Agentic AI. The project focuses on how AI agents collaborate with humans in multi-agent settings, addressing trust, control, and decision-making in complex environments.

The successful candidate will conduct empirical studies, including experiments and longitudinal work, to understand how individual differences, team composition, and interaction patterns influence collaboration,

Qualificações

• PhD in Computer Science or closely related field.
• Strong research expertise in human–AI interaction, collaboration, or multi-agent systems.
• Strong programming skills and experience with ML frameworks.
• Experience in empirical research, experiments, or user studies.
• Strong research track record demonstrated by publications.

Conhecimentos

PhD in CS

Human–AI interaction

Machine learning

Empirical research

Publications

Formação académica

PhD or equivalent

Descrição da oferta de emprego

Organisation/Company ELLIS Unit Alicante Foundation Department Research Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 30 Nov 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 11 Jan 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No

Offer Description

ELLIS Alicante invites applications for a two-year postdoctoral position in Human–AI Teaming and Agentic AI, focusing on how AI agents can collaborate effectively with humans in increasingly complex, multi-agent environments.

As AI systems evolve from individual assistants into teams of interacting agents, a central challenge is understanding how humans can work effectively with these systems, maintain appropriate levels of trust and control, and make informed decisions without becoming overwhelmed by information and interaction demands.

The successful candidate will contribute to research on human-centered methods for adaptive collaboration between humans and AI agents. A central component of the position will be the empirical investigation and evaluation of human–AI collaboration through controlled experiments and, where appropriate, longitudinal studies involving human participants. The research will examine how individual differences, team composition, agent capabilities, and interaction patterns influence collaboration, decision quality, and human experience. The research agenda will also consider how principles of trustworthy and socially aware AI, including fairness, transparency, and norm-sensitive behaviour, can support effective human–AI collaboration.

The position will be supported primarily by a Horizon Europe research project, alongside other research funding.

This position offers the opportunity to contribute to an emerging research area at the intersection of agentic AI, human–AI interaction, and empirical evaluation; develop original research ideas; publish at leading international venues; and collaborate with researchers across ELLIS and the wider international research community.

Requirements

Research Field Computer science » Other Education Level PhD or equivalent

Skills/Qualifications

• PhD in Computer Science, Artificial Intelligence, Human–Computer Interaction, Cognitive Science, or a closely related field. Candidates who have completed their PhD or expect to complete it before the start date are welcome to apply.
• Strong research expertise in one or more relevant areas, such as human–AI interaction, human–AI collaboration, agentic AI, multi-agent systems, machine learning, or the empirical evaluation of AI systems.
• Strong programming skills and practical experience with modern machine learning frameworks, AI systems, or computational methods relevant to the research agenda.
• Experience in empirical research, including the design, execution, or analysis of experiments or user studies.
• A strong research track record, demonstrated through publications and other relevant research contributions appropriate to career stage.

Specific Requirements

The following will be considered advantages:

• Experience developing, evaluating, or deploying LLM-based agents and multi-agent AI systems.
• Knowledge of experimental design, cognitive load measurement, behavioural analysis, or human decision‑making.
• Experience with adaptive interfaces, mixed‑initiative interaction, human–AI teaming, or research on trust and reliance in AI systems.
• Familiarity with trustworthy AI, fairness, responsible AI, or norm‑aware agent behaviour.
• Experience conducting longitudinal studies or analysing complex human‑subject data.
• Experience with project coordination, scientific dissemination, mentoring, or organising academic events.

Candidates with publications at leading venues in relevant fields, such as NeurIPS, ICML, ICLR, ACL, AAAI, IJCAI, AAMAS, CHI, CSCW, IUI, ACM CHI, ACM CSCW, ACM/AAAI AIES and ACM FAccT, are particularly encouraged to apply.

• Strong analytical, critical‑thinking, and creative problem‑solving skills.
• Ability to formulate research questions, develop original ideas, and pursue them independently.
• Excellent written and spoken English, including the ability to communicate complex research findings clearly.
• Strong interpersonal and collaboration skills, with the ability to work effectively in an interdisciplinary and international environment.
• Initiative, intellectual curiosity, sound research judgement, and a commitment to scientific integrity and responsible research.
• Motivation to contribute to a collaborative research culture and to the broader scientific community.