Consultant - ENGAGE.EU PhD & Research Officer
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 .
Se è interessato/a a candidarsi per questo lavoro, la preghiamo di assicurarsi di soddisfare i seguenti requisiti, elencati di seguito. 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
:
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. xcldrub EU PhD & Research Officer at
Consultant - ENGAGE.EU PhD & Research Officer at Luiss Libera Università Internazionale degli Studi Sociali Guido Carli (Luiss University)
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 .
Se è interessato/a a candidarsi per questo lavoro, la preghiamo di assicurarsi di soddisfare i seguenti requisiti, elencati di seguito. 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
:
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. xcldrub EU PhD & Research Officer at
Consultant - ENGAGE.EU PhD & Research Officer at Luiss Libera Università Internazionale degli Studi Sociali Guido Carli (Luiss University)