Specialised, Transparent and Ethical AI Agent Systems for Education and Knowledge Management

University of Macerata; Italia; On-site; EUR 32,000 - 45,000; Full time

Job summary

The University of Macerata invites applications for a First Stage Researcher position in information science and information management. The role emphasizes designing AI-enabled educational tools and knowledge management systems, with focus on transparency and responsible AI.

Applicants should have a Master’s degree (or higher) and a proven research track record including publications, mobility experiences, and knowledge of foreign languages. Collaborative, interdisciplinary work is expected.

Qualifications

• University qualifications only if relevant to the research programme (degree, master degree, Master I-II Level, Specialisation, PhD)
• Master Degree vote(this refers to the Master's degree required for admission to the competition).
• Documented research activity relevant to the programme of the assignment
• Publication of scientific articles relevant to the research programme
• Participation in national and international mobility programmes for scientific activities
• Knowledge of foreign languages
• Other specific skills necessary for the research

Responsibilities

• Study, design and experiment with AI-based systems to support education and knowledge management.
• Investigate multi-agent architectures, LLMs, retrieval-augmented generation, and personalization techniques.
• Evaluate approaches with use cases, experimental activities and scientific dissemination.

Skills

AI/ML expertise

Research methodology

Education

Master's degree

PhD

Job description

Information science » Information management

Organisation/Company University of Macerata Research Field Information science » Information management Researcher Profile First Stage Researcher (R1) Positions Other Positions Application Deadline 16 Nov 2026 - 13:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The research activity focuses on the study, design and experimentation of systems based on specialised and cooperative Artificial Intelligence agents supporting education, learning and knowledge management processes. The research will investigate multi-agent architectures, Large Language Models, Retrieval-Augmented Generation and personalisation techniques, with particular attention to the quality, traceability and verifiability of generated information. Methodologies will also be developed to ensure transparency, explainability, human oversight, reliability and ethical use of AI. The proposed approaches will be evaluated through use cases and experimental activities in educational and knowledge-intensive contexts.

The position requires an interdisciplinary profile with expertise in Artificial Intelligence, Machine Learning and intelligent systems, particularly Large Language Models, agentic and multi-agent systems, Retrieval-Augmented Generation and knowledge management. Expertise in Digital Humanities and educational and training processes is also required, with a focus on designing agentic AI solutions for learning and for the production, organisation and enhancement of knowledge. Relevant qualifications include the ability to develop and evaluate software prototypes, integrate AI models and services, and address Responsible AI issues, including transparency, explainability, privacy and human oversight. Activities will include state-of-the-art analysis, architecture design, experimentation, evaluation of results and scientific dissemination.

Specific Requirements

University qualifications only if relevant to the research programme (degree, master degree, Master I-II Level, Specialisation, PhD)

Master Degree vote(this refers to the Master's degree required for admission to the competition).

Documented research activity relevant to the programme of the assignment

Publication of scientific articles relevant to the research programme

Participation in national and international mobility programmes for scientific activities

Knowledge of foreign languages

Other specific skills necessary for the research