This course is designed for (young and senior) researchers at all levels (e.g., PhD students, postdocs, assistant professors, etc.) who are keen to explore the transformative potential of Generative AI in their future scientific studies. Also, master’s students are welcome, assuming that they are interested in having an academic career.
Participants will gain hands-on experience with state-of-the-art generative AI models and techniques, learning how to apply technologies like GPT, DeepSeek, and Llama to generate hypotheses, analyse complex datasets, and use such tools as subjects in their own experiments. The course will cover best practices, ethical considerations, and case studies from various scientific disciplines.
Course Format
- Dates: 12-23 January 2026
- Attendance: In-person
- Form of tuition: Lectures workshops
- Form of assessment: Project pitch and a final report
- Language of instruction: English
- See the course curriculum
Course Level
- Level: Master’s, PhD/Postdoc candidates, and Assistant/Associate/Full Professors
- English language requirement: B2 level or higher (equivalent to IELTS 6.5)
- See the entry requirements
Workload
- Credits: Equivalent to 2 ECTS
- Contact hours: 16.5
- Self-study hours: 40
Lecturers
- Coordinating lecturer: Dr. Ivano Malavolta
- Other lecturers: The full lineup is still to be finalised.