Consultant - ENGAGE.EU PhD & Research Officer

Research Community Engage; Roma; On-site; EUR 41,328 - 68,880; Full time

Job summary

Research Community Engage is seeking faculty members to apply for teaching roles in the ENGAGE.EU Summer School in Data Science, taking place in Rome in July 2026. Faculty from any department are encouraged to apply, focusing on topics such as machine learning, data privacy, and AI ethics. Selected lecturers must engage students through interactive workshops and submit necessary documents by 19 October 2025. The program promises an enriching experience for bachelor’s students from various backgrounds, aiming to tackle societal challenges through data science.

Qualifications

• Experience in teaching and curriculum development.
• Ability to engage students in interactive learning.
• Familiarity with data science and related topics.

Responsibilities

• Deliver the course based on the agreed outline.
• Prepare course materials and conduct assessments.
• Submit grades and communication as required.

Job description

Luiss University is pleased to invite faculty members from ENGAGE.EU partner universities to apply for teaching roles in the upcoming ENGAGE.EU Summer School in Data Science, taking place in Rome in July 2026. This two-week, in-person programme is designed for bachelor’s students from all academic backgrounds who are eager to explore the transformative potential of data science, artificial intelligence, and digital technologies.

About the Summer School

The ENGAGE.EU Summer School offers a unique educational experience that blends academic excellence with practical engagement. Students will participate in interactive lessons, hands‑on workshops, and collaborative projects that deepen their understanding of data analysis and its role in shaping strategic decision‑making, organizational processes, and digital ecosystems.

Key topics include:

• Data-Driven Management
• Data-Driven Decision Making
• Digital Ecosystems
• Fundamentals of Data Science
• Machine Learning and Artificial Intelligence
• Natural Language Processing (NLP)
• Data Privacy and Security
• Ethics and Governance of AI

The programme aims to equip students with both hard and soft skills to tackle societal challenges and become responsible future leaders in data-rich environments.

Teaching Opportunities

Faculty members from any department or school within the ENGAGE.EU alliance are encouraged to submit proposals for teaching sessions. Teaching commitments can span one, two, or three days, and should focus on the core themes listed above. We welcome interdisciplinary approaches and encourage the inclusion of external organizations to provide real-world insights and enrich the learning experience.

Workshops should be designed to be interactive, engaging students in discussion, experimentation, and collaborative learning.

Application Process

Interested faculty members should submit the following documents by 19 October 2025 to [e-mail]:

• Curriculum vitae, including research activities
• A brief description (approx. 1 page) of the proposed contribution to the programme
• Information on availability during the two-week programme

Expectations for Selected Lecturers

• Deliver the course based on the agreed outline, in collaboration with Luiss faculty
• Prepare course materials and conduct student assessments
• Submit grades and required documentation by the specified deadlinesProvide Luiss with necessary information for programme communication
• Dates: July 2026
• Language of Instruction: English
• Participants: 45 bachelor’s students from ENGAGE.EU universities

Contact Information

For questions regarding the application or the programme, please contact:

Consultant - ENGAGE.EU PhD & Research Officer at

Consultant - ENGAGE.EU PhD & Research Officer at Luiss Libera Università Internazionale degli Studi Sociali Guido Carli (Luiss University)