Your position
As the main SSH partner for the project, the Sustainability Research Group plays a central role in understanding and addressing the societal dimensions of these emerging technologies. The PhD candidate will contribute to the development and implementation of a
Societal Readiness Framework (SRF) that systematically integrates social, institutional, and regulatory considerations into the design and implementation of AI-based energy-sharing tools.
The PhD will further investigate the psychological, socioeconomic, and social factors influencing the uptake of AI-enabled energy sharing. Research activities will include
quota-representative national surveys, semi-structured interviews, and participatory workshops to examine attitudes, acceptance, trust, perceived fairness, and other potential determinants of participation in AI-enabled energy-sharing schemes.
In addition, the PhD candidate will collaborate with a range of stakeholders, including technology developers, Energy Community organisers and members, to design, test, and refine user-centred tools, dashboards, and interfaces. This work will involve evaluating aspects such as usability, trust in AI-supported decisions, and perceived fairness.
The PhD candidate will also contribute to the planning, implementation, and evaluation of
behavioural and trust-building field experiments in pilot sites across Europe, including Greece, Portugal, France, Italy, Germany, and the Netherlands. These activities will examine how different intervention strategies influence technology adoption and participation.
Research activities will form the basis of multiple academic research papers and will contribute to the development of a PhD thesis.
Your profile
Applicants must possess an academic qualification (MSc/MA) in the social sciences, psychology, or a related discipline, ideally with a focus on sustainability, and should have experience with relevant empirical research methods. Strong quantitative research skills and experience with surveys are expected, while qualitative research skills, including experience with interviews, workshops and thematic analysis, are desirable.
A proficient level in English, excellent analytical and academic writing skills, strong communication and interpersonal skills, and a willingness to collaborate are essential. The candidate should be comfortable engaging with diverse stakeholders, including citizens, community leaders, industry representatives, technology developers, and technical experts.
Experience with participatory research and co-design methodologies is desirable, as is knowledge of the energy sector and Energy Community policies. Proficiency in another European language would be an advantage.
The position would suit a candidate with a strong interest in
energy transitions, sustainability, Energy Communities, artificial intelligence, and the societal implications of emerging technologies.