Requirements
- PhD degree in Computer Science, Information Technology, Social Sciences, Public Policy, or a related field with a strong qualitative research component.
- Proficiency in English at a C1 level.
- Demonstrated expertise in qualitative research methodologies and familiarity with the dynamics of AI implementation in various sectors.
- A keen interest in policy analysis related to technology adoption and regulation.
- Ability to synthesize complex information and conduct cross-disciplinary research.
- Experience in collaborative projects involving industry and academia is highly desirable.
Responsibilities:
- Conducting in-depth qualitative research on the implementation of AI technologies in different sectors and the corresponding policy landscape.
- Collaborating with a multidisciplinary team to analyze the socio-technical dimensions of AI adoption.
- Engaging with stakeholders from industry, academia, and policy-making bodies to gather insights and perspectives.
- Contributing to the development of policy recommendations and guidelines for effective and ethical AI integration.
- Co-supervising PhD students and contributing to the academic community through high-quality publications.
- Strong publication record in reputable journals, focusing on technology policy, AI ethics, or similar areas.