PhD Position: the Emerging Regulatory Framework for Algorithmic Decision Making in the Media
University of Amsterdam
Europe is a space of ambitious regulatory experimentation to discipline the power of large social media companies and create the conditions for fair competition and diverse media markets. Regulations such as the Digital Services Act, the Digital Markets Act or the Data Act must together ensure that the key technologies that power the algorithmic society, such as automated content moderation and recommendation algorithms, will respect fundamental rights and public values. Now is a unique moment in time to study how the emerging regulatory framework will organise a complex web of societal stakeholders and hold powerful technology players to account for the societal risks their technologies create. The overall goal of this project is to study the role that the new regulatory framework has in realising public values and influencing the power dynamics in the overall media ecology.
Profile of the candidate
The candidate for this position has a (research) master degree in information law or political science. The candidate has a strong affinity with the above topics and in working together with a team of people from different disciplines including an interest to learn and work with researchers from communication science, political science, digital humanities and media economics.
Furthermore you have:
Proven academic interest in questions regarding algorithmic applications and digital society;
Interest in working in a very interdisciplinary, cross-university environment;
Interest in contributing to and helping to create the broader algosoc research community;
An excellent written and spoken command of English (written and spoken command of other languages, including Dutch, French, and/or German is a plus);
Affinity with organising workshops, lecture series, and similar events.
If the vacancy appeals to you, but you are doubting whether you might be THE person we are looking for, please do apply. We encourage all qualified applicants, including minorities, women, people with disabilities, and members of other groups underrepresented in academia to apply. We wish to create a consortium that consists of persons who each contribute in their unique way to the team. Complementarity and not homogeneity is what we are looking for.
Developing a societal vision on automated decision making concerns us all. We believe that a diversity of perspectives in our consortium will be important in developing an inclusive societal vision and strive therefore also in our hiring policy for encouraging applicants from diverse backgrounds. We are committed to creating an environment of mutual respect, inclusiveness, equal opportunities with room for situated experiences, diverse perspectives, and ideas to flourish. This commitment applies to our research, organisation, room for flexibility, training, and community activities as well as our hiring strategy.